摘要
随着通信等行业的发展,对自适应阵列天线滤波系统的吞吐量提出了更高的要求。本文利用压缩感知技术的稀疏化特点降低数据的计算复杂度。首先减少天线阵元所接收信号的测量数据,再送至自适应天线系统进行滤波处理,然后通过重构算法——SP算法(子空间匹配追踪)进行信号重构,能有效地降低自适应阵列天线滤波系统的计算复杂度,提高自适应阵列天线滤波系统的数据吞吐量。
With the development of communication industry, the higher requests to adaptive array antenna filtering system is put forward. This paper first uses the rarefaction characteristics of compressive sensing technology to reduce the computational com- plexity of data, sends it to adaptive antenna filtering system to process, and then uses the reconstruction algorithm, SP algorithm （ Suhspace Matching Pursuit） to reconstuct signal. It can effeetiely reduce the computational complexity of adaptive array anten- na filtering system and improve the data throughout of adaptive array antenna filtering system.
出处
《计算机与现代化》
2013年第7期98-100,126,共4页
Computer and Modernization
