传统矢量量化器的码本普适性差,需要在线更新,难以在星载SAR系统中实现.文中针对星载SAR原始数据的统计特性,以多维空间上的失真函数为代价函数,根据输入数据的联合概率密度函数设计得到了具有普适性的矢量量化码本,分析了原始数据矢量量化编码以及解码方案.在此基础上,深入研究了矢量量化级联熵编码方案的可行性以及码字索引在信道传输发生误码时算法的稳健性.实际数据处理结果表明,文中算法具有普适性,矢量量化码本的普适性使得码本可以进行离线设计,为矢量量化的星载实用化提供了理论指导. The codebook of traditional vector quantizer has poor universality and needs to be updated online and is difficult to be implemented in the spaceborne SAR system.In this paper, the statistical characteristics of the original data of spaceborne SAR are analyzed, and the distortion function in multidimensional space is taken as the cost function. The joint vector of probability density function is designed to obtain a universal vector quantization codebook, and the original vector quantization coding and decoding scheme are analyzed.On the basis of this, the feasibility of vector quantization cascade entropy coding scheme and the codeword index The robustness of the algorithm in the case of channel transmission error.The actual data processing results show that the algorithm in this paper is universal and the universality of the vector quantization codebook makes the codebook can be offline design for the practical application of vector quantization The theoretical guidance.