Development of random signal radar(RSR)over the past 30 years is described.Conventional methods of implementing RSR are summarized such as correlation,spectrum analysis,and anticorrelation.Some typical RSR systems are introduced,for example,noise frequency modulation CW radar, random binary phase-coded CW radar, etc., and their merits and demerits are also pointed out. Finally, RSR development trends are analyzed.

The 30+ year development of random signal radar (RSR) is described in this paper.Conventional methods of implementing RSR's are summarized: correlation,spectrum analysis,and anti-correlation.Some typical RSR systems are introduced;for example:noise frequency modulation continuous wave radar;and random binary phase-coded continuous wave radar,and their merits and demerits are also pointed out.Finally,the development trends of RSR is analyzed.

相位编码雷达具有优良的抗干扰和低截获概率特性，因此它已得到广泛的研究和应用，但该雷达固有的距离旁瓣又会影响多目标情况下的目标检测。本文首先指出了相位编码雷达中大功率信号的距离旁瓣是影响弱小目标检测的根本原因; 接着给出了一种基于子空间投影在回波视频信号中逐一消除大功率回波信号来改善雷达对弱小目标检测能力的方法; 然后分析了该方法的基本原理和实现步骤，仿真结果证明该方法是有效的。

Besides some general requirements,modem military radars should possess excellent LPI(low probability of intercept)properties.And civilian radars should satisfy the rigorous requirement of EMC(electro-magnetic Compatibility)performance. The special features of random signal radar are analyzed here based on the different requirements for military and civilian use. Results show that random signal radar has excellent LPI property and EMC performance simultaneously, which can satisfy both military and civilian requirements

The sensitivity of spectrum estimation approach,the minimum variance distortionless response (MVDR) spectrum estimator,to random perturbations in the amplitude and phase of array sensors is studied.Analytical expressions for the mean and variance of the spatial spectrum are derived.The effects of the amplitude error on the spectrum is greater relatively than that of the phase error.Theoretical results are validated by the computer simulation.These expressions are then used to study the characteristics of the estimator.