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15 November 2017 A novel readout integrated circuit for ferroelectric FPA detector
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Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 106051T (2017)
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China
Uncooled infrared detectors haves some advantages such as low cost,light weight,low power consumption, and superior reliability, compared with cryogenically cooled ones.Ferroelectric uncooled focal plane array(FPA) are being developed for its AC response and its high reliability.As a key part of the ferroelectric assembly,the ROIC determines the performance of the assembly. A top-down design model for uncooled ferroelectric readout integrated circuit(ROIC) has been developed. Based on the optical,thermal and electrical properties of the ferroelectric detector,the RTIA readout integrated circuit is designed. The noise bandwidth of RTIA readout circuit has been developed and analyzed. A novel high gain amplifier, a high pass filter and a low pass filter circuits are designed on the ROIC. In order to improve the ferroelectric FPA package performance and decrease of package cost a temperature sensor is designed on the ROIC chip.At last the novel RTIA ROIC is implemented on 0.6μm 2P3M CMOS silicon techniques. According to the experimental chip test results,the temporal root mean square(RMS)noise voltage is about 1.4mV,the sensitivity of the on chip temperature sensor is 0.6 mV/K from -40°C to 60°C,the linearity performance of the ROIC chip is better than 99%.Based on the 320×240 RTIA ROIC, a 320×240 infrared ferroelectric FPA is fabricated and tested. Test results shows that the 320×240 RTIA ROIC meets the demand of infrared ferroelectric FPA.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Piji Bai, Lihua Li, Yulong Ji, Jia Zhang, Min Li, Yan Liang, Yanbo Hu, and Songying Li "A novel readout integrated circuit for ferroelectric FPA detector", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106051T (15 November 2017);


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