Abstract
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.
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References
Kwok, R., & Johnson, WTK. (1989). Block adaptive quantization of Magellan SAR data. IEEE Transactions on Geoscience and Remote Sensing, 27(4), 375–383.
McLeod, I.H., Cumming, I.G., Seymour, M.S. (1998). ENVISAT ASAR data reduction: impact on SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 36(2), 589–602.
ESR. (2005). BEST- Basic Envisat SAR Toolbox. User manual, Version 4.0.2.
Misra, T., & Kirankumar, AS. (2014). RISAT-1: configuration and performance evaluation. In Proceedings of 2014 XXXIth URSI general assembly and scientific symposium (URSI GASS) (pp. 1–4).
Guccione, P., & et al. (2015). Sentinel-1A: analysis of FDBAQ performance on real data. IEEE Transactions on Geoscience and Remote Sensing, 53(12), 6804–6812.
Kniola, M., Kawalec, A., Lesnik, C., Szugajew, M. (2017). Implementation of block adaptive quantizer as a peripheral module for the FPGA-based SAR system. In Proceedings of the 18th international radar symposium 2017 (pp. 1–4).
Fang, WC. (1994). VLSI processor design of real-time data compression for high resolution imaging radar. In IEEE international ASIC conference and exhibit (pp. 441–444).
Lei, S., Ye, Z.-T., Jing, Z.-X. (2007). Design and implementation of SAR raw data BAQ based on FPGA. In Proceedings of 1st Asian and Pacific conference on synthetic aperture radar (pp. 664–666).
Pioneering ERS environment satellite retires. ESA, July 5, 2011.
Tsai, Y.L., Tsai, P.Y., Lee, C.H., Chen, L.M., Lee, S.Y. (2016). Design and implementation of multi-mode block adaptive quantizer for synthetic aperture radar. In Proceedings of international SOC design conference (ISOCC) (pp. 33–34).
Max, J. (1960). Quantization for minimum distortion. IRE Transactions on Information Theory, 7–12.
Attema, E., Cafforio, C., Gottwald, M., Guccione, P., Guarnieri, A.M., Rocca, F., Snoeij, P. (2010). Flexible dynamic block adaptive quantization for sentinel-1 SAR missions. IEEE Geoscience and Remote Sensing Letters, 7(4), 766–770.
Acknowledgements
The authors greatly appreciate the Chip Implementation Center (CIC) of National Applied Research Laboratory, Taiwan, R.O.C., for implementation.
This work was supported in part by National Space Program Office, National Applied Research Laboratory. This work was presented in part at the International SoC Design Conference in Jeju, Korea, 2016.
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Tsai, PY., Huang, MY., Tsai, YL. et al. Design of a Multi-mode Block Adaptive Quantizer for High-Resolution Synthetic Aperture Radar Imaging. J Sign Process Syst 91, 673–683 (2019). https://doi.org/10.1007/s11265-018-1386-3
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DOI: https://doi.org/10.1007/s11265-018-1386-3