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Signals of Interest Recovery With Multiple Receivers Using Reference-Based Successive Interference Cancellation for Signal Collection Applications

机译:使用基于参考的连续干扰消除的多接收机恢复感兴趣的信号,用于信号收集应用

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In this paper, we introduce a novel but intuitive scheme to recover multiple signals of interest (SoI) from multiple emitters in signal collection applications such as signal intelligence, electronic intelligence, and communications intelligence. We consider a case where the SoIs form a heavy interference environment. The scheme, which is referred to as reference-based successive interference cancellation (RSIC), involves a combination of strategic receiver placement and signal processing techniques. The scheme works by placing a network of cooperative receivers where each receiver catches its own SoI (despite multiple interferences). The first receiver demodulates the initial SoI (called a reference signal) and forwards it to the second receiver. The second receiver collects a received signal containing the second SoI but is interfered with by the initial SoI, which is a problem called co-channel interference in cellular communications. Unfortunately, the amplitude scaling of the interference is unknown in the second receiver and therefore has to be estimated via least squares error. It turns out that the estimation requires a priori knowledge of the second SoI, which is the very signal it tries to demodulate, thereby yielding a Catch-22 problem. We propose using an initial guess on the second SoI to form an amplitude estimate such that the interference is subtracted (cancelled) from the collected measurement at the second receiver. The procedure is applied to a third receiver (or multiple receivers) until the last of the desired SoI is separated from all of the co-channel interferences. The RSIC scheme performs well. Using quaternary phase shift keying as example modulation, we present major symbol error rate (SER) performance improvements with the use of RSIC over the highly degraded SER of receivers that are heavily interfered and do not employ any cancellation technique.
机译:在本文中,我们介绍了一种新颖而直观的方案,可以从信号收集应用(例如信号智能,电子智能和通信智能)中的多个发射器中恢复多个感兴趣的信号(SoI)。我们考虑SoI形成严重干扰环境的情况。该方案称为基于参考的连续干扰消除(RSIC),涉及战略性接收机放置和信号处理技术的组合。该方案通过在每个接收器捕获自己的SoI(尽管存在多个干扰)的地方放置一个协作接收器网络来工作。第一接收器解调初始SoI(称为参考信号)并将其转发给第二接收器。第二接收机收集包含第二SoI的接收信号,但是受到初始SoI的干扰,这在蜂窝通信中被称为同频干扰。不幸的是,在第二接收机中,干扰的幅度缩放是未知的,因此必须通过最小二乘误差来估计。事实证明,估算需要先验了解第二个SoI,这正是它试图解调的信号,从而产生了Catch-22问题。我们建议在第二个SoI上使用初始猜测来形成幅度估计值,以便从第二个接收器处收集的测量值中减去(消除)干扰。将该过程应用于第三个接收器(或多个接收器),直到最后一个所需的SoI与所有同信道干扰分离为止。 RSIC方案表现良好。使用四相相移键控作为示例调制,我们通过在严重干扰且未使用任何抵消技术的高度退化的接收器SER上使用RSIC提出了主要的符号误码率(SER)性能改善。

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