X波段单发多收体制下用于解距离模糊的时变二相码波形优化设计

Bi-phase Encoded Waveform Design to Deal with the Range Ambiguities for Sparse Space-based Radar Systems

针对小卫星雷达系统由于天线尺寸受限、宽波束照射面积大而带来的方位模糊,通过采用高脉冲重复频率来解方位模糊,然后利用发射波形的时变特性来解决高重频带来的距离模糊。基于此,采用了一种梯度遗传算法对多发射二相码波形进行优化,使其自相关峰值、积分旁瓣电平和互相关主副比、积分旁瓣电平尽可能的低。同时对多约束构成的适应度函数进行自适应尺度因子加权,以克服不同约束带来的不同数量级所造成的优化倾向问题。仿真结果和性能分析验证了该算法的有效性和可行性。

In order to mitigate the ambiguities inherent in a sparse aperture, high pulse repetition frequency was adopted to resolve Doppler ambiguous and waveform approach exploited temporal diversity to resolve range ambiguities. In the paper, a novel GA with gradient-like reproduce was adopted to optimize multiple bi-phase encoded waveform, so their peak side-lobe and integrated side-lobe of auto-correlation and cross-correlation are all as lower as possible. The fitness function with adaptive scale gene corresponding to muhiple constraint is used to overeome optimal trend. The simulation results show that the algorithm proposed is efficient and feasible.