Predict temporal structure of the signal and the noise

R. Revathi, T. Kavitha
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引用次数: 0

Abstract

Traditional spatial-temporal adaptive signal processing techniques are often applied to conduct narrowband and wideband interferences. However, its mitigation performance degrades greatly due to mutual coupling. To solve this problem, this paper aims to utilize a spatial-temporal self-tuning synthesis filter capable of mutual coupling compensation and interference mitigation. The spatial filter and temporal filter are to compensate for the effect of mutual coupling and interference mitigation, respectively. Self-tuning mechanism is to adopt least square (LS) and minimum variable distortionless response-(MVDR-) based method to adjust spatial and temporal weights of antenna array. The experiment platform is established by the embedded development board. Simulation and experiment results demonstrate that the proposed method can effectively compensate for mutual coupling, mitigate the cochannel interference up to 30 dB, and enhance the acquisition performance of receivers in global navigation satellite system (GNSS).
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预测信号和噪声的时间结构
传统的时空自适应信号处理技术常用于窄带和宽带干扰。然而,由于相互耦合,其减缓性能大大降低。为了解决这一问题,本文旨在利用具有互耦补偿和干扰抑制功能的时空自调谐综合滤波器。空间滤波器和时间滤波器分别用于补偿相互耦合和抑制干扰的影响。自调谐机制是采用基于最小二乘(LS)和最小变量无失真响应(MVDR)的方法来调整天线阵的时空权值。实验平台由嵌入式开发板搭建。仿真和实验结果表明,该方法能够有效地补偿全球导航卫星系统(GNSS)中的互耦,抑制最大30 dB的共信道干扰,提高接收机的采集性能。
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