摘要
二相码信号由于实现简单,已经广泛地应用于各种脉冲压缩雷达,然而到目前,高压缩比、低旁瓣二相码信号的优选由于数学处理的困难和计算代价的昂贵一直没有很好解决。本文引入神经元计算的思想,提出了基于模拟退火的二相码选码方法。实验结果表明,这种方法不仅能搜索到最优码,搜索次数大大减少,而且易于做到优选二相码的优化程度与计算代价之间的折衷。
Binary code signal have been widely used in various radars due to their simple implementation, but the selection of the binary codes with high compression ratio and low side-lobes is not well solved, because of the difficult processing in mathematics and expensive ca-Iculation cost. In this paper, neural computing is introduced into the field of the selection of binary codes, and a new method based on simulated annealing is proposed. The experiments show that the proposed method is able to select the optimal binary codes vvith much less time than the known methods, furthermore the optimization of selection of the binary codes versus the calculation cost trade-off is easier.
关键词
二相码
选码
模拟退火
雷达
Binary Codes
Selecting codes
Side lobe
Simulated Annealing
