Zhu Jiahua, Wang Xuezhi, Huang Xiaotao, Suvorova Sofia, Moran Bill
College of Electronic Science, National University of Defense Technology, Changsha 410073, China.
School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.
Sensors (Basel). 2018 Jan 11;18(1):192. doi: 10.3390/s18010192.
Golay complementary waveforms can, in theory, yield radar returns of high range resolution with essentially zero sidelobes. In practice, when deployed conventionally, while high signal-to-noise ratios can be achieved for static target detection, significant range sidelobes are generated by target returns of nonzero Doppler causing unreliable detection. We consider signal processing techniques using Golay complementary waveforms to improve radar detection performance in scenarios involving multiple nonzero Doppler targets. A signal processing procedure based on an existing, so called, Binomial Design algorithm that alters the transmission order of Golay complementary waveforms and weights the returns is proposed in an attempt to achieve an enhanced illumination performance. The procedure applies one of three proposed waveform transmission ordering algorithms, followed by a pointwise nonlinear processor combining the outputs of the Binomial Design algorithm and one of the ordering algorithms. The computational complexity of the Binomial Design algorithm and the three ordering algorithms are compared, and a statistical analysis of the performance of the pointwise nonlinear processing is given. Estimation of the areas in the Delay-Doppler map occupied by significant range sidelobes for given targets are also discussed. Numerical simulations for the comparison of the performances of the Binomial Design algorithm and the three ordering algorithms are presented for both fixed and randomized target locations. The simulation results demonstrate that the proposed signal processing procedure has a better detection performance in terms of lower sidelobes and higher Doppler resolution in the presence of multiple nonzero Doppler targets compared to existing methods.
理论上,戈莱互补波形能够产生具有基本为零旁瓣的高距离分辨率雷达回波。在实际应用中,按传统方式部署时,虽然对于静态目标检测能够实现高信噪比,但非零多普勒目标的回波会产生显著的距离旁瓣,导致检测不可靠。我们考虑使用戈莱互补波形的信号处理技术,以提高在涉及多个非零多普勒目标场景中的雷达检测性能。提出了一种基于现有的所谓二项式设计算法的信号处理程序,该算法改变戈莱互补波形的传输顺序并对回波进行加权,试图实现增强的照射性能。该程序应用三种提出的波形传输排序算法之一,然后是一个逐点非线性处理器,它将二项式设计算法的输出与其中一种排序算法的输出相结合。比较了二项式设计算法和三种排序算法的计算复杂度,并给出了逐点非线性处理性能的统计分析。还讨论了给定目标在距离 - 多普勒图中显著距离旁瓣所占区域的估计。针对固定和随机目标位置,给出了二项式设计算法和三种排序算法性能比较的数值模拟。仿真结果表明,与现有方法相比,所提出的信号处理程序在存在多个非零多普勒目标的情况下,在较低旁瓣和较高多普勒分辨率方面具有更好的检测性能。