Study of Effect of Raw Data Compression on Azimuth Multi-channel SAR System

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Abstract An effective way to achieve High Resolution and Wide Swath (HRWS) imaging capability is the multi-channel technique in azimuth. Improved resolution and swath can dramatically increase the volume of echo data in the SAR system. However, the onboard data storage and data-transmission bandwidth are limited, so data compression technique is typically used to reduce the volume of echo data. To study the effect of raw data compression on the azimuth multi-channel SAR system, in this paper, we establish a multi-channel SAR signal model based on data compression. We then derive and analyze the effects of data compression on the Signal-to-Noise Ratio (SNR) scaling factor of the multi-channel SAR system and quantization noise. Finally, we verify the validity of the proposed model and analysis results using simulation and real data and discuss the effect of data compression on the Peek-to-Ghost Ratio (PGR). The results of this paper provide an important theoretical basis for the choice of compression method in the multi-channel SAR system.

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	Articles by authors
	Zhao Yao
	Deng Yunkai
	Wang Yu
	Li Ning
	Wang Wei

Key words： Block adaptive quantization High Resolution and Wide Swath (HRWS) Multi-channel SAR system Signal-to-quantization-noise ratio

Received: 2017-03-16; Published: 2017-06-22

Fund: The National Natural Science Foundation of China (61422113), The National Ten Thousand Talent Program-Young Top Notch Talent Program, The Hundred Talents Program of the Chinese Academy of Sciences

Cite this article:

Zhao Yao,Deng Yunkai,Wang Yu et al. Study of Effect of Raw Data Compression on Azimuth Multi-channel SAR System[J]. JOURNAL OF RADARS, 2017, 6(4): 397-407.

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