摘要
高频雷达工作在电磁环境十分恶劣的短波段,为避开干扰严重的频段,采用一种准随机跳频信号。这种信号经匹配处理后距离旁瓣很高,严重影响了雷达的性能。该文详细地分析了这种信号,提出一种距离旁瓣处理技术,并采用神经网络来实现优化计算.仿真表明算法具有较好的数值稳定性,能有效地抑制最大旁瓣。
Operating in the heavy congested SW band, HF radars use a quasi-random step frequency signal to avoid the interference bands. However, the sidelobe of this signal after matching processing is very high, thus would greatly debase the radar's performance. In this paper, a range sidelobe processing technique is proposed on a basis of delicate signal analysis and a NN based algorithm is applied to realize the optimization computing. Simulation results demonstrate this method could successfully suppress the maximum sidelobe with good numerical stability.
出处
《电子与信息学报》
EI
CSCD
北大核心
2003年第8期1035-1041,共7页
Journal of Electronics & Information Technology
关键词
随机跳频
最大旁瓣抑制
最小二乘
神经网络
高频雷达
Random step frequency, Maximum sidelobe suppression, Least square method, Neural networks