Design of a Multi-mode Block Adaptive Quantizer for High-Resolution Synthetic Aperture Radar Imaging

An advanced synthetic aperture radar imaging system needs a multi-mode block adaptive quantizer (BAQ) for high-resolution image requirements. However, the Lloyd-Max quantizer inside the BAQ consists of non-uniform thresholds for comparison. Consequently, the arithmetic complexity grows exponentially if the BAQ output word-length becomes larger. In this work, a multi-mode BAQ is designed to support real-time compression for high sampling-frequency radar signals. Various output word-lengths are provided so that different compression ratios can be set depending on the applications. To solve the problem of exponential growth in complexity due to the large BAQ output word-lengths, we propose two strategies, input scaling and hybrid comparators. Significant saving in complexity is attained. From the synthesis result in 40 nm CMOS technology, the proposed design supports 14-bit ADC at 800-MHz sample frequency with output word-lengths of 2, 3, 4, 6, 8 bits. Its gate count is 45.6 K and power consumption is only 11.8 mW at 0.9 V.

[1]  Li-Mei Chen,et al.  Design and implementation of multi-mode block adaptive quantizer for synthetic aperture radar , 2016, 2016 International SoC Design Conference (ISOCC).

[2]  Ron Kwok,et al.  Block adaptive quantization of Magellan SAR data , 1989 .

[3]  Davide Giudici,et al.  Sentinel-1A: Analysis of FDBAQ Performance on Real Data , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Ian G. Cumming,et al.  ENVISAT ASAR data reduction: impact on SAR interferometry , 1998, IEEE Trans. Geosci. Remote. Sens..

[5]  Joel Max,et al.  Quantizing for minimum distortion , 1960, IRE Trans. Inf. Theory.

[6]  Wai-Chi Fang VLSI processor design of real-time data compression for high-resolution imaging radar , 1994, Proceedings Seventh Annual IEEE International ASIC Conference and Exhibit.

[7]  Zheng-TaoYe,et al.  Design and implementation of SAR raw data BAQ based on FPGA , 2007, 2007 1st Asian and Pacific Conference on Synthetic Aperture Radar.

[8]  Ciro Cafforio,et al.  Flexible Dynamic Block Adaptive Quantization for Sentinel-1 SAR Missions , 2010, IEEE Geoscience and Remote Sensing Letters.

[9]  Tapan Misra,et al.  RISAT-1: Configuration and performance evaluation , 2014, 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS).

[10]  Adam Kawalec,et al.  Implementation of Block Adaptive Quantizer as a peripheral module for the FPGA-based SAR system , 2017, 2017 18th International Radar Symposium (IRS).