相关杂波背景下的认知雷达序贯信号检测
发布时间：2019-03-10 20:24
【摘要】：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。
[Abstract]:In view of the problem that correlation clutter greatly affects the detection performance of traditional radar, a sequential signal detection method for cognitive radar is proposed in this paper. Based on the binary hypothesis test, the whole working time of radar is divided into two stages: estimation and detection. In the estimation stage, the system transmits the optimal estimation waveform and updates the target impact response by radar echo. In the detection phase, the system designs the optimal detection waveform by using the acquired prior knowledge and realizes the adaptive detection threshold at the receiver. The results of analysis and experimental simulation show that the detection performance of the system is greatly improved by combining the waveform optimization at the transmitter and the sequential decision information at the receiver. In addition, with the increase of time, the estimated value of target impact response is more and more close to the real value, which makes the estimation detection probability more and more close to the real detection probability, so as to improve the performance and ensure the reliability of decision-making at the same time.
【作者单位】： 电子工程学院;
【分类号】：TN957.51
[Abstract]:In view of the problem that correlation clutter greatly affects the detection performance of traditional radar, a sequential signal detection method for cognitive radar is proposed in this paper. Based on the binary hypothesis test, the whole working time of radar is divided into two stages: estimation and detection. In the estimation stage, the system transmits the optimal estimation waveform and updates the target impact response by radar echo. In the detection phase, the system designs the optimal detection waveform by using the acquired prior knowledge and realizes the adaptive detection threshold at the receiver. The results of analysis and experimental simulation show that the detection performance of the system is greatly improved by combining the waveform optimization at the transmitter and the sequential decision information at the receiver. In addition, with the increase of time, the estimated value of target impact response is more and more close to the real value, which makes the estimation detection probability more and more close to the real detection probability, so as to improve the performance and ensure the reliability of decision-making at the same time.
【作者单位】： 电子工程学院;
【分类号】：TN957.51
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