论文标题
在存在未知的相互耦合的情况下,自适应雷达检测和轴承估计
Adaptive Radar Detection and Bearing Estimation in the Presence of Unknown Mutual Coupling
论文作者
论文摘要
本文介绍了在阵列元素之间存在相互耦合的情况下的关节自适应雷达检测和目标轴承估计。首先,通过多通道雷达接收的信号的合适模型是通过均匀线性阵列(ULA)歧管的线性化过程以及使用对称toeplitz结构化矩阵来代表相互耦合效应的。因此,在均匀雷达环境的假设下评估了广义的似然比检测器(GLRT)检测器。它的计算利用具有可靠的收敛属性的特定次要最大化(MM)框架,以优化目标存在假设下的集中似然函数。此外,当尚不清楚主动相互耦合系数的数量时,将调用多户可能的似然比检验(MFLRT)方法。在分析阶段,将新探测器的性能与基准以及开放文献中可用的对应物进行了比较,从而忽略了相互耦合现象。结果表明,必须明智地考虑自设计阶段以来的耦合效果,以确保靠近基准的性能水平。
This paper deals with joint adaptive radar detection and target bearing estimation in the presence of mutual coupling among the array elements. First of all, a suitable model of the signal received by the multichannel radar is developed via a linearization procedure of the Uniform Linear Array (ULA) manifold around the nominal array looking direction together with the use of symmetric Toeplitz structured matrices to represent the mutual coupling effects. Hence, the Generalized Likelihood Ratio Test (GLRT) detector is evaluated under the assumption of homogeneous radar environment. Its computation leverages a specific Minorization-Maximization (MM) framework, with proven convergence properties, to optimize the concentrated likelihood function under the target presence hypothesis. Besides, when the number of active mutual coupling coefficients is unknown, a Multifamily Likelihood Ratio Test (MFLRT) approach is invoked. During the analysis phase, the performance of the new detectors is compared with benchmarks as well as with counterparts available in the open literature which neglect the mutual coupling phenomenon. The results indicate that it is necessary to consider judiciously the coupling effect since the design phase, to guarantee performance levels close to the benchmark.