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A Low-Cost 128 × 128 Uncooled Infrared Detector Array in CMOS Process

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A Low-Cost 128 × 128 Uncooled Infrared Detector Array in CMOS Process 20 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 17, NO. 1, FEBRUARY 2008 A Low-Cost 128 × 128 Uncooled Infrared Detector Array in CMOS Process Selim Eminoglu, Member, IEEE, Mahmud Yusuf Tanrikulu, Member, IEEE, and Tayfun Akin, Member, IEEE Abstract—This pape...
A Low-Cost 128 × 128 Uncooled Infrared Detector Array in CMOS Process
20 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 17, NO. 1, FEBRUARY 2008 A Low-Cost 128 × 128 Uncooled Infrared Detector Array in CMOS Process Selim Eminoglu, Member, IEEE, Mahmud Yusuf Tanrikulu, Member, IEEE, and Tayfun Akin, Member, IEEE Abstract—This paper discusses the implementation of a low-cost 128 × 128 uncooled infrared microbolometer detector array to- gether with its integrated readout circuit (ROC) using a standard 0.35 µm n-well CMOS and post-CMOS MEMS processes. The detector array can be created with simple bulk-micromachining processes after the CMOS fabrication, without the need for any complicated lithography or deposition steps. The array detectors are based on suspended p+-active/n-well diode microbolometers with a pixel size of 40 µm × 40 µm and a fill factor of 44%. The p+-active/n-well diode detector has a measured dc responsivity (�) of 4970 V/W and a thermal time constant of 36 ms at 50 mtorr vacuum level. The total measured rms noise of the diode type detector is 0.69 µV for an 8 kHz bandwidth, resulting in a de- tectivity (D∗) of 9.7 × 108 cm · Hz1/2/W. The array is scanned by an integrated 32-channel parallel ROC including low-noise dif- ferential preamplifiers with an electrical bandwidth of 8 kHz. The 128 × 128 focal plane array (FPA) has one row of infrared-blind reference detectors that reduces the effect of FPA fixed pattern noise and variations in the operating temperature relaxing the requirements for the temperature stabilization. Including the noise of the reference and array detectors together with the ROC noise, the fabricated 128 × 128 FPA has an expected noise equivalent temperature difference (NETD) value of 1 K for f/1 optics at 30 frames/s (fps) scanning rate. This NETD value can be decreased to 350 mK by improving the post-CMOS fabrication steps and increasing the number of readout channels. [2007-0157] Index Terms—CMOS infrared detector, CMOS micromachined sensor, low-cost infrared detector, microbolometer, microbolome- ter readout circuit, uncooled infrared detector. I. INTRODUCTION UNCOOLED infrared detectors have recently gained wideattention for infrared imaging applications, due to their advantages, such as low cost, low weight, low power, wide spectral response, and long-term operation compared to those of photon detectors. Uncooled technology has great potential for use in various civilian applications, like driver’s night vision enhancement, fire detection, security systems, and automotive Manuscript received July 3, 2007; revised September 16, 2007. This work was supported in part by NATO’s Scientific Affairs Division in the frame- work of the Science for Stability Program and in part by the Research and Development Department of Ministry of Defense (MSB ArGe). Subject Editor R. Howe. S. Eminoglu was with the Department of Electrical and Electronics Engi- neering, Middle East Technical University, Ankara 06531, Turkey. He is now with Teledyne Scientific LLC, Thosand Oaks, CA 91360 USA. M. Y. Tanrikulu and T. Akin are with the Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara 06531, Turkey (e-mail: tayfuna@metu.edu.tr). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/JMEMS.2007.910235 safety systems. A worldwide effort is still continuing to im- plement very large format arrays at low cost. For this, many researchers are trying to integrate uncooled infrared detectors with readout electronics monolithically with a CMOS process. The compatibility of the detectors with CMOS technology, and therefore, monolithic CMOS integration, is one of the main issues for achieving low-cost detectors. One of the most famous approaches for uncooled infrared imaging is to implement microbolometers using surface micro- machined bridges on CMOS processed wafers, where infrared radiation increases the temperature of a material on the ther- mally isolated and suspended bridge, causing a change in its resistance [1]–[17]. There are efforts to implement micro- bolometers using many different materials, such as vanadium oxide (VOx) [1], [2], [9]–[15], amorphous silicon (a-Si) [3], [16], [17], polycrystalline silicon−germanium (poly SiGe) [4], yttrium barium copper oxide (YBaCuO) [5], [6], and metal films [7], [8]. Outstanding performance has been demonstrated with surface micromachined microbolometers having focal plane array (FPA) sizes as large as 640 × 480 and pixel sizes ranging from 50 µm down to 17 µm, especially using VOx and a-Si, with performances close to those of cooled infrared detec- tors at much lower cost [9]–[17]. However, these detectors are mainly developed for military application, and their costs are not as low as the required level for many commercial applica- tions, as all of the surface micromachined resistive bolometers require post-CMOS material deposition and etching steps, as well as a number of high-precision lithography steps, limiting their cost reduction. In addition, some of these approaches are not compatible with CMOS process lines and require dedicated fabrication facilities. Another important microbolometer approach is to use sil- icon p-n diodes as the temperature sensitive element in mi- crobolometer arrays [18]–[20]. Array pixels are based on suspended multiple series diodes fabricated on SOI CMOS wafers, and successful implementation of 320 × 240 FPAs with 40 µm pixel pitch and 640 × 480 FPAs with 25 µm pixel pitch have been reported [18]–[20]. Although this approach provides very uniform arrays with very good potential for low-cost high performance uncooled detectors, its fabrication is based on a dedicated in-house SOI CMOS process, where intra-CMOS MEMS process steps are included. Since these detectors cannot be implemented in a standard CMOS or SOI CMOS process, it would be difficult to reduce their costs down to limits that very low-cost applications require. A different microbolometer approach is recently proposed for very low-cost applications, where the detector material is obtained with very thin Si/SiGe single crystal multilayers [21]. 1057-7157/$25.00 © 2008 IEEE EMINOGLU et al.: LOW-COST 128 × 128 UNCOOLED INFRARED DETECTOR ARRAY IN CMOS PROCESS 21 As this material requires high temperature epitaxial growth, it cannot be grown on CMOS readout electronics. Instead, the material is grown on a separate substrate, and then, it is transferred on top of the CMOS readout electronics using a 3-D bolometer integration process [22]–[24]. Although this approach aims at low cost detector arrays, it requires a rather complicated process with unconventional production methods, where yield might be a problem. One of CMOS based infrared imager approaches is to use thermopile arrays implemented with front or back-side bulk-micromachining of CMOS fabricated wafers [25], [26]. However, thermopile arrays have low responsivity values (2–15 V/W) and large pixel pitch (100–250 µm), limiting their use for large detector arrays. In addition, these detectors also require extra processing steps to form electroplated gold lines for thermal isolation between the pixels [25] or special processing steps that results in a custom-made CMOS process to achieve the required structure [26]. Another unconventional and potentially low-cost approach is to implement FPAs using thermally tunable thin film filter membrane pixels [27]–[29]. Each of these pixels acts as a wavelength translator, converting far infrared radiation signals into near infrared signals, which are optically detected by off- the-shelf charge coupled device (CCD) or CMOS cameras. This optical readout approach introduces some unique difficulties such as readout complexity, shot noise, and vibration and thermomechanical noise. In addition to these unique difficul- ties, this approach has other challenges such as nonuniformity, sensitivity to critical film properties, and sensitivity to ambient temperature, limiting its low-cost target. There are still efforts to overcome these difficulties and fabricate low-cost infrared imagers with high performance [29]. For ultra low-cost applications, the best approach would be to implement the detector arrays together with their readout circuitry fully on a standard CMOS or SOI-CMOS process, using some simple post-CMOS etching steps where neither any critical lithography nor any detector material deposition steps are needed. We have previously demonstrated the implemen- tation of such low-cost uncooled microbolometer FPAs with 16 × 16 array format, where the n-well layer in a standard 0.8 µm CMOS process is used as the active detector material [30], [31]. The pixels in these prototype FPAs have a size of 80 µm × 80 µm with a fill factor of 13%, which is low due to the limitations of silicon bulk-micromachining used in detector fabrication. We have also reported fabrication of a new low-cost small pixel size detector structure, where the pixel is achieved with a new post-CMOS processing approach on dies fabricated using a standard 0.35 µm CMOS process [32], [33] along with its first array implementation [34]. This paper reports the implementation of a larger FPA with 128 × 128 pixels based on this detector structure along with improved readout circuitry [35]. The pixels used in the FPA have a size of 40 µm × 40 µm, while having an increased fill factor of 44%. Each detector in the FPA is implemented with a suspended p+-active/n-well diode, which provides very low noise when biased at low current. This infrared FPA fabrication approach is very simple and suitable for ultra low-cost infrared imaging applications. Fig. 1. Perspective view of the p+/n-well active diode microbolometer that can be obtained in a standard n-well CMOS process. II. PIXEL STRUCTURE AND IMPLEMENTATION Fig. 1 shows a perspective view of the p+-active/n-well diode microbolometer that can be obtained in a standard n-well CMOS process after post-CMOS MEMS processes [33]. Infrared radiation heats the absorbing layer on the thermally isolated n-well, increasing its temperature, which in turn results in a change in the diode voltage related to its temperature coefficient. Bulk silicon under the n-well is etched away to reduce thermal conductance and to increase responsivity of the detector. To obtain high thermal isolation, the interconnect material on support arms are implemented using polysilicon. This thermally isolated suspended structure is obtained by front-side bulk-etching of fabricated CMOS dies, where the electrochemical etch-stop technique is used to prevent the etch- ing of the n-well [36], [37]. The pixel size and fill factor are determined by process limi- tations, such as the minimum interconnect width and openings between the arms that allow silicon to be exposed to the solution during etching. To improve the fill factor, etch openings are drawn at their minimum possible dimensions, and no initial oxide openings are created on the CMOS fabricated FPAs. The required etch openings are created in an optimized selective dry etch process using a mixture of CHF3 and O2 gases, where CMOS metal layers are used as protection masks [34], [38]. After the necessary openings are created on the surface to reach the silicon substrate, the silicon underneath the pixel is removed in an anisotropic silicon etchant, Tetra-Methyl Ammonium Hydroxide (TMAH), while the electrochemical etch-stop process is used to prevent etching of the n-well layer. Fig. 2 shows the post-CMOS fabrication steps and the cross-sections of the pixel structure after (a) CMOS fabrication, (b) dry- etch, and (c) anisotropic silicon etch process in TMAH. At the beginning, the surface of the pixel is covered with oxide. After dry-etching, all the oxide not protected by metal layers is etched down to the silicon substrate, and the protected regions are stopped at particular metallization levels. The silicon un- derneath the pixel is removed by using a front-side bulk silicon micromachining technique. Finally, the metal mask layers are removed by a simple metal etch process [33]. This approach has a number of advantages. First of all, it does not require any critical lithography step after the CMOS process, reducing the cost of the process. In addition, the gaps between the arms can be reduced as the CMOS technology allows, making it possible to reduce the pixel size while 22 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 17, NO. 1, FEBRUARY 2008 Fig. 2. Post-CMOS fabrication steps and the cross section of the diode pixel structure (a) after CMOS process, (b) after dry etch, and (c) anisotropic silicon etch [33]. Fig. 3. (a) Block diagram and (b) layout of the 128 × 128 uncooled infrared imager chip. The chip measures 6.5 mm × 7.9 mm in a standard 0.35 µm CMOS process. increasing the fill factor. Also, there is no need for any complicated post-CMOS deposition or surface micromachin- ing process steps that increase the processing cost and that decreases the yield. Therefore, the detector cost is expected to be very close to the cost of the CMOS chip. III. FPA ARCHITECTURE Fig. 3 shows the block diagram and the layout of the fabri- cated 128 × 128 uncooled infrared FPA. The array and refer- ence row pixels are addressed by row and column multiplexers (Row and Column Mux) controlled by vertical and horizontal shift register (VSR and HSR) blocks. The array pixels are read out differentially with respect to reference pixels through a 32-channel low-noise readout circuit (ROC) composed of differential transconductance amplifiers, switched capacitor in- tegrators, and sample-and-hold circuits at 30 frames/s (fps) with an electrical bandwidth of 8 kHz. Final analog output is multiplexed through two serial outputs (Ser Out-1, Ser Out-2) controlled by output shift register (OSR) at a rate of 250 K samples/s. All the blocks are controlled by an on- chip timing circuit. There are on-chip temperature sensors to monitor the die temperature, and on-chip etching circuitry to properly bias the pixels during the silicon etching process. The chip measures 6.5 mm × 7.9 mm in a standard 0.35 µm CMOS process. Pixels in the array are read out with respect to on-chip infrared-blind reference detectors to minimize the effect of ambient temperature variations. Fig. 4 shows the simplified schematics of the 128 × 128 microbolometer array together with the reference detectors. Gray lines show the current flow through the array and reference pixels when the row switch 〈0〉 is closed. Vr_pix and Vr_ref are reference voltages for the array and reference pixels, Rx and Ry are horizontal and vertical routing resistance values per pixel, and Rz is the routing resistance per row below a selected row in the vertical routing structure on the left of the array for both array and reference pixels. Reference pixels have effectively N times wider vertical routing lines above the selected row in the routing structure to match the vertical voltage drops on the upper portion of the array. An improvement with respect to the previous array [35] is achieved by using an exact replica of the array row as a ref- erence row of pixels just above the array pixels, and improving the vertical routing structure external to the detector area. To compensate for the horizontal voltage variation, the ref- erence pixels are placed in a single row above the array pixels. The electrical property of the reference pixels is identical to that of the array pixels, with the only difference being in their thermal conductance values. To reduce any possible self- heating due to excessively fast addressing of these pixels, they are connected with metal interconnects on wider oxide support arms. The corresponding electrical resistance of the reference pixels is matched by using the same interconnect structure outside the pixel area on the substrate. Because of the poor thermal isolation of the reference pixels, they can be consid- ered to be infrared-blind due to their reduced responsivity by about three orders of magnitude. The high thermal-conductance associated with the reference pixels also reduces their thermal time constant to a very low level, and they can respond to the self-heating almost immediately. However, due to the increased thermal conductance value, the self-heating of these detectors is not as high as the actual detectors, even if they can reach the steady state very quickly. The disadvantage of having a short thermal time constant for the reference pixels is that they cannot be used to compensate for the self-heating occurring unavoidably for the array pixels. However, this can be solved by adjusting the current level just prior to the integration in the circuit level [39]. EMINOGLU et al.: LOW-COST 128 × 128 UNCOOLED INFRARED DETECTOR ARRAY IN CMOS PROCESS 23 Fig. 4. Simplified schematics of the 128 × 128 array with the improved array structure. Gray lines show the current flow through the array and reference pixels when the row switch 〈0〉 is closed. To compensate for the vertical voltage variations, the metal lines in the external vertical routing structure are implemented in such a way that the vertical voltage drop measured from a selected row bias voltage is the same both for the reference and array pixels, which is cancelled by a differential ROC. Although it is also possible to make the FPA insensitive to vertical pixel selection, the 128 × 128 FPA is designed so that the differential reading is compensated both for the horizontal and vertical voltage variations. The resulting array pixel voltage (VFPA(m,n)) and reference pixel voltage (VREF(m,n)) in the FPA are given as VFPA(m,n) =Vrow(m)−Vpix(m,n)−mI0Ry −N K (K−1−p)I0Rx−KI0Rx c∑ k=0 ( N K −k ) (1) VREF(m,n) =Vrow(m)−VREF(n)−mNI0 Ry N −N K (K−1−p)I0Rx−KI0Rx c∑ k=0 ( N K −k ) (2) where, m and n are the row and column of the pixel, respectively, Vrow is the bias voltage for the selected row, Vpix and VREF are the voltages of the selected array and reference pixels, respectively, I0 is the pixel bias current, Rx and Ry are horizontal and vertical routing resistance values, respectively, for a single pixel, N is the number of columns and rows in the FPA (N = 128), K is the number of the parallel readout channels (K = 32), p is the position index of the pixel in a selected column group (0 ≤ p ≤ 3), c is the position index of the corresponding readout channel (0 ≤ c ≤ 31), and Vr_pix and Vr_ref are the reference bias voltages of the array rows and reference row, respectively. It should be noted that the total current carried by the external routing structure is the same on the left of the array, and the lower portion of the external routing structure is identical for both array and reference pixels; there- fore, voltages after row select switches are identical for both array and reference pixels, denoted by Vrow(m). However, the current distribution is different in the upper section above the select switch for a given row, since, the total current inside the array is divided into as many parallel paths as the number of parallel readout channels. Corresponding voltage drop in the upper vertical section is given by the third term in the above equations. To match the upper vertical voltage drop in the array and external vertical routing structure, as many multiple parallel paths as the number of routing channels are added to the vertical routing structure, so that the product of the total current and total resistance is kept the same both for the array and reference pixels. The fourth and fifth terms in the above equations give the horizontal voltage drop in the array and reference pixels, respectively, in the nth column, which corresponds to cth readout channel and pth pixel in the given channel. Since the pixel row structure for array and reference pixels are made identical in the design, corresponding terms are the same for array and refe
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