摘要
密集多输入多输出(MIMO)阵列式雷达技术的一个重要方面,一般而言,MIMO雷达以距离为参数进行目标检测。文中基于Capon、APES等自适应参数估计算法,针对密集MIMO阵列,提出了一种以方位为参数的目标检测方法。以Ca-pon谱为例,通过蒙特卡洛试验,仿真分析了这种检测的性能。结果表明,检测概率和虚警概率相同时,Capon谱检测方法的信噪比要求比传统检测高6 dB～10 dB,因此,可认为密集MIMO阵列不适合利用自适应参数估计算法进行目标检测。
Co-located MIMO array is an important aspect of radar technology. In general, the target detecting of MIMO radar is car- ried out in Doppler-range dimension. For Co-located MIMO array, by using adaptive parameters estimation algorithm such as Ca- pon,APES, a new target detection method is proposed in this paper, the new method to detect target is performed in direction di- mension. As Capon for example, the Monte Carlo method is used to simulate the new detecting method. The results indicate that the needed SNR of the Capon detecting method need more 6 dB tol0dB than the traditional detecting method when detection proba- bility and false alarming probability are the same. It shows that the adaptive algorithm of parameters estimation does not suit for tar- gets detection of the co-located MIMO radar.
出处
《现代雷达》
CSCD
北大核心
2012年第10期53-56,共4页
Modern Radar
