基于LVD变换的大时宽带宽信号雷达高速目标检测方法

High-Speed Target Detection Method for Radar Based on LVD Transform With Large Time and Wide Bandwidth Signal

随着电子战及超高速武器的快速发展,在现有雷达体制下,传统目标探测技术面临着严峻的挑战。为了在提高雷达高速目标的检测性能的同时,兼顾雷达抗干扰能力和战场生存能力,雷达发射需具有低截获特性的大时宽带宽信号。这种情况下,高速运动目标产生尺度效应和脉内多普勒使得匹配滤波失效。针对该问题,提出一种基于吕氏分布(LVD)的大时宽带雷达信号高速多目标检测方法。该方法对高速目标回波的自相关函数进行尺度变换,消除时间变量与延迟变量之间的耦合;再通过2D-FFT变换将回波能量在变换域中积累成峰值;最后通过峰值检测实现对高速目标的检测与参数估计。仿真分析表明,该方法不仅在低信噪比(SNR)下具有较高的检测性能,并且在复杂场景中能够检测多个目标,同时具有较高的参数估计精度。

With the rapid development of electronic warfare and ultra high-speed weapons,the traditional target detection technology is facing severe challenges under the existing radar system.In order to improve the detection performance of radar high-speed target,while taking into account the anti-interference ability and battlefield survival ability,radar transmission needs a large-time broadband wide signal with low interception characteristics.In this case,the high-speed moving target produces scale effects and intra-pulse Doppler dispersion,making the matched filtering ineffective.To solve the above problems,a high-speed target detection method for large time-bandwidth product signal radar based on LV's Distribution(LVD) transform is proposed.In this method,the autocorrelation function of high-speed target echo is transformed by scale to eliminate the coupling between time variable and delay variable.Then,the echo energy is accumulated into a peak in the transform domain by 2D-FFT transform.Finally,the detection and parameter estimation of high-speed target are realized by peak detection.The simulation analysis indicates that this method not only has high detection performance at low signal-to-noise(SNR),but also can differentiate multiple targets in complex scenes,and has high ranging and velocity measurement accuracy.