Antisaturation quantization encoding and decoding method for spaceborne SAR raw data

Abstract

The invention provides an anti-saturation quantization coding and decoding method used for spaceborne SAR original data, comprising the steps as follows: partitioned data is normalized according to the mapping relationship between ADC output signal amplitude average value and ADC output signal standard difference; the normalized high-saturation partitioned data is quantized; the normalized low-saturation partitioned data is quantized; the high-saturation partitioned data and the low-saturation partitioned data are distinguished according to coding address, thus gaining the coding data; the coding data is decoded to gain the decoding data; the decoding data is normalized (namely power compensation) according to the mapping relationship between the ADC output signal amplitude average value and ADC input signal standard difference. The method apparently improves the performance of BAQ arithmetic during the saturation of ADC and can achieve the object by changing the quantization coding in FPGA only, without changing the software and hardware for BAQ arithmetic.

Description

technical field [0001] The invention belongs to the field of space-borne SAR original data compression, and relates to a method for anti-saturation quantization encoding and decoding of space-borne SAR original data. Background technique [0002] Spaceborne SAR raw data compression is an effective way to solve the problem that the large amount of data acquired by spaceborne SAR is difficult to match with the bandwidth of onboard data transmission. At present, although there are many kinds of compression algorithms on the planet, only BAQ (Block Adaptive Quantization) and BFPQ (Block Floating PointQuantization) are practical when considering the compromise between the performance of the compression algorithm and the complexity of its hardware implementation. The former is a time-domain compression algorithm for fixed-point numbers, and the latter is a time-domain compression algorithm for floating-point numbers. [0003] In the practical application of the BAQ algorithm, the...

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Problems solved by technology

[0008] In order to solve the problem in the prior art that the performance of the BAQ algorithm is reduced when the ADC is saturated, the purpose of the present invention is to improve the BAQ (Block Adaptive Quantization) algorithm to contain more saturated data in the ADC (Analog-to-Digital Converter) output Compression performance at time, for this reason, the present invention provides a kind of anti-saturation quantization encoding and decoding method of spaceborne SAR original data

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