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An architecture for an embedded antenna-array digital GNSS receiver using subspace-based methods for spatial filtering

机译:使用基于子空间的空间滤波方法的嵌入式天线阵列数字GNSS接收器的架构

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This paper presents an architecture for an embedded multi-antenna digital GNSS receiver. A two-stage adaptive beamformer for interference suppression and Line-of-Sight (LoS) signal amplification is presented and analyzed w.r.t. to an efficient implementation on embedded receivers. Jammer signals are mitigated at pre-correlation stage whereas the LoS signals are amplified at post-correlation stage. The method is based on a subspace-based approach where filter coefficients are derived from the eigenvalues and -vectors of the covariance matrix. In the first stage, the covariance matrix is determined immediately from the digital antenna signals for interference mitigation and in the second stage, the matrix is computed based on the correlator outputs of each satellite in LoS. Dedicated buildingblocks for covariance matrix estimation and filtering are required for interference mitigation since this operation is computed on sampling rate. A fixed-point VHDL implementation and related costs in terms of logic-cell requirements on an FPGA are provided for both blocks. Eigendecomposition is computed on an embedded processor. The implementation of two decomposition algorithms (one for interference mitigation and the other one for LoS-signal amplification) are presented. Optimizations and costs in terms of processing-cycles on an embedded processor are provided.
机译:本文介绍了嵌入式多天线数字GNSS接收器的架构。提出并分析了用于干扰抑制和视线线(LOS)信号放大的两级自适应波束形成器。在嵌入式接收器上有效实现。在预相关阶段减轻干扰信号,而LOS信号在相关阶段处被放大。该方法基于基于子空间的方法,其中滤波器系数来自来自协方差矩阵的特征值和 - VECTOR。在第一阶段,立即从数字天线信号确定协方差矩阵用于干扰缓解和第二阶段,基于LOS中每个卫星的相关器输出来计算矩阵。由于该操作在采样率上计算了干扰缓解,因此需要对协方差矩阵估计和过滤的专用建筑块进行干扰缓解。对于两个块提供FPGA上的逻辑单元要求的定点VHDL实现和相关成本。在嵌入处理器上计算实际分解。呈现了两个分解算法的实现(用于干扰缓解,另一个用于LOS信号放大)。提供了嵌入式处理器上的处理周期方面的优化和成本。

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