基于HGSAA的机会阵雷达离散频率编码波形设计

机会阵雷达(opportunistic array radar, OAR)是一种以平台隐身性设计为核心的新体制雷达，设计适用于OAR系统的正交波形是研究的一个重要方面。对常规的雷达正交波形编码的搜索方法进行改进，使用混合遗传模拟退火算法，寻找出具有低自相关和互相关特性的雷达离散频率编码集合；并且考虑到算法适应度函数的重要性，引入灰关联度综合评价法则对其加以关联分析，根据关联度来引导算法搜索的方向，使产生的波形具备较好的性能。仿真结果表明，该算法可行且高效，在搜索最优离散频率编码方面优于其他搜索算法。

Discrete frequency code waveform design for OAR based on HGSAA

The orthogonal performance is an important aspect for the opportunistic array radar (OAR) system, which is a new radar concept with the core of designing the platform stealth. The searching methods for conventional radar orthogonal waveform are improved, by using the hybrid genetic simulated annealing algorithm to design the discrete frequency code waveform with low autocorrelation and cross correlation. The novel algorithm marries simulated annealing with genetic algorithms and evaluates fitness function by the grey correlation model, which decides the searching direction of algorithms and weights of fitness. The simulation results show that the proposed algorithm is effective for the design of orthogonal phase signals used in OAR systems and superior to other algorithms.