BAQ算法在电子战侦察系统数据压缩中的应用研究  

Research on ESM Data Compression Using Block Adaptive Quantization

作　　者：吴永伦 

机构地区：[1]电子信息控制重点实验室,成都610036

出　　处：《电子对抗》2016年第4期5-8,19,共5页Electronic Warfare

摘　　要：文章将在合成孔径雷达和基站数据压缩中应用的分块自适应量化（BAQ）算法引入电子战侦察系统，实现对中频原始数据的高实时、低失真压缩传输，以降低对硬件接口传输速率的需求，避免出现大数据量传输过程中的阻塞现象。仿真分析表明，BAQ算法可以实现对各通道中频原始数据的有效压缩传输与恢复，DBF后呈现低幅相失真特性，积累后频谱误差较小，对信号检测和参数测量几乎没有影响，可以进行工程应用。This article introduces the Block Adaptive Quantization（BAQ） algorithm applied in SAR and Base Station data compression to ESM system, with high real-time and low-distortion compression and transmission for IF raw data, in order to reduce the need for hardware interface transfer rate, and avoid obstruction during large amount of data transmission. Simulation results show that, BAQ algorithm can effectively transmit and recover raw data of each channel, and the recovery data exhibits low amplitude and phase distortion characteristics, spectrum error is very small after integration, nearly having no effect on signal detection and parameters measure- ment, so the algorithm can be used in project application.

关 键 词：分块自适应量化 电子战侦察系统 DBF 积累 

分 类 号：TN957.52[电子电信—信号与信息处理]