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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。使用这种改进算法的阵列天线的方向图综合也得到了很好的结果
Array signal processing is the rapid development of technology in recent 40 years. The optimization of pattern synthesis is an important issue. Particle swarm optimization technology achieves a good overall pattern synthesis effect through a simple algorithm. Particle swarm optimization algorithm not only uses the particle’s best historical position and the best position, but also updates the position of the particle using the best position of the neighbor particle history. The test results show that this method can eliminate the standard particle swarm optimization Easy to converge to the shortcomings of the local optimum. The pattern synthesis of array antennas using this improved algorithm also yielded good results