摘要
阵列信号处理是近40年来迅速发展的技术,方向图综合的优化是其重要的问题,粒子群优化技术通过简单的算法可以达到很好的方向图综合效果。近邻粒子群优化算法除了利用粒子本身历史最优位置与全体最优位置外,还利用邻居粒子历史最优位置更新本粒子位置,测试函数测试结果表明,这在一定程度上消除了标准粒子群算法容易收敛到局部最优值的缺点。
Array signal processing is a rapidly developing technique, and optimization of beam pattern synthesis is an important issue of this technique. Particle swarm optimization could achieve excellent results with simple computing. Neighborhood particle swarm optimization, uses the neighbor particles past best positions, besides the particle personal best positions and the global best positions, to updates the particle next new position, thus eliminating the standard particle swarm optimization＇ s easiness for converging to local optimal value. Experiment indicates that, by this modified algorithm, the beam pattern synthesis for array antennas could achieve excellent results.
出处
《通信技术》
2009年第9期52-53,71,共3页
Communications Technology
关键词
阵列天线
方向图综合
近邻粒子群优化
array antennas
beam pattern synthesis
neighborhood particle swarm optimization
