This paper addresses the multichannel adaptive detection of signal with unknown amplitude in the presence of coloured Gaussian interference. The interference is modelled as an autoregressive (AR) process with regard to its spatial and temporal correlation. We propose a new parametric detector in which the ability to reject fictitious targets is considered by including a mismatched signal in the null hypothesis at the design stage. Simulation results and comparison with the well-known methods show that the proposed detector has proper performance at detecting the mainlobe targets especially in cases with less or even no secondary data. Also, the proposed detector can effectively reject the fictitious or sidelobe targets while the previous detectors based on AR model interference do not have such a capability.

本文探讨了在有色高斯干扰存在下对未知幅度信号的多通道自适应检测。就其空间和时间相关性而言，将干扰建模为自回归（AR）过程。我们提出了一种新的参数检测器，其中在设计阶段通过在零假设中包含不匹配的信号来考虑拒绝虚拟目标的能力。仿真结果和与已知方法的比较表明，所提出的检测器在检测主瓣目标方面具有适当的性能，特别是在没有或什至没有辅助数据的情况下。而且，提出的检测器可以有效地拒绝虚拟或旁瓣目标，而先前基于AR模型干扰的检测器不具有这种能力。