相关杂波背景下的认知雷达序贯信号检测

针对相关杂波大大影响了传统雷达的检测性能问题， 本文提出了一种认知雷达的序贯信号检测方法，该方法在二元假设检验的基础上将雷达整个工作时间分成两个阶段:估计和检测阶段。在估计阶段，系统发射最优估计波形，同时通过雷达回波对目标冲击响应进行估计更新；在检测阶段，系统利用已经获得的先验知识设计最优检测波形且在接收端实现检测门限自适应。结果分析和实验仿真表明:由于联合了发射端的波形优化和接收端的序贯判决信息利用，因此大大提高了系统的检测性能；此外，随着时间的增加，目标冲击响应的估计值越来越逼近真实值，使得估计检测概率也越来越趋近于真实检测概率，从而在提高性能的同时也保证了决策的可靠性。 

Sequential Signal Detecting for Cognitive Radar in the Presence of Signal-Dependent Clutter

In order to solve the problem of traditional radar detecting performance has been greatly influenced by the relevant clutter, this paper proposes a sequential signal detection method for cognitive radar. The method divides the whole work time into two stages:Estimating and detecting. In the estimating stage, the optimal estimating waveform is launched and the target impulse response is estimating updated. In the detecting stage, system designs the optimal detecting waveform based on the prior knowledge and adaptively adjusts the detecting threshold. The results show that: The detecting performance of system has been improved obviously because of the joint optimization between the transmitter and receiver. In addition, the estimating accuracy of target impulse response increases when the number of loop increases so as to the estimated detecting probability will approach the true detecting probability, which would improve system performance and ensure the reliability of the decision at the same time.