基于稀疏成分分析的测向技术

摘要

It is one of the important tasks for Electronic Reconnaissance ( ER) to find the direction and determine the location of radar and communication source. We have made great efforts for array signal processing to achieve fast,accurate and low-cost direc-tion-of-arrival ( DOA) of signal sources. The conventional array signal processing consumes too many Analog to Digital Conversions ( ADCs) that brings huge pressure to front hardware. The direction finding technique based on Sparse Component Analysis ( SCA) and compressive sensing theory is developed rapidly. The simulation results show that this direction finding method has advantages on DOA estimation,and it can not only simplify the front hardware of the receiver,but also achieve better result in direction finding precision and the solutions of the coherent signals. This paper summarizes and analyzes these methods by MATLAB,providing new design ideas for the new system ER direction finder.%雷达和通信信号辐射源的测向定位是电子侦察的重要任务之一。如何实现快速、高精度、低成本的信号辐射源DOA估计一直是阵列信号处理继续研究和努力的方向。传统的阵列信号处理在接收信号时消耗了大量的模数转换单元，给硬件前端设计带来了巨大压力。近年来基于稀疏成分分析和压缩感知理论的测向技术得到了快速发展，对该方向上的测向方法进行了总结和仿真分析，验证了该算法在DOA估计性能上的优势。该类算法不仅能大大简化接收机前端硬件电路，而且在测向精度和解相干信号源的问题上具有更好的效果，给新体制的电子侦查测向机提供了新的设计思路。