认知雷达通过对探测环境的感知实现对感兴趣目标的探测。考虑杂波和噪声中的起伏目标的认知雷达探测问题,建立从接收机到发射机的反馈支路,使得雷达与探测环境之间构成一个闭环;采用期望最大算法对探测环境中的目标参数进行估计;利用接收机获得的反馈信息,采用信杂噪比最大准则设计下一次迭代所需的发射波形。计算机仿真分析表明,采用了认知雷达闭环探测结构,可以有效增加探测环境信息获取的效率,因此相对于常规雷达而言,具有更好的探测能力。
Cognitive radar can detect the target of interest by perceiving the operation environment. The cognitive radar detection problem of the fluctuated target embedded in the clutter and noise is studied. With the feedback linked to the transmitter from the receiver ^ the closed loop connected with the radar system and the en-vironment is formed. The target parameters can be estimated with the expectation maximization algorithm. Uti-lizing the feedback information from the receiver, the transmitted waveform for the next cycle is designed based on the signal to clutter and noise ratio maximization criterion. The computer simulation results indicate that the utilization of the closed loop for the cognitive radar can improve the efficiency of radar environment information acquisition. As a result,the cognitive radar has a better detection performance? compared with the traditional radar.