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Householder Multistage Wiener Filter for Space-Time Navigation Receivers

机译：时空导航接收机的Householderer多级维纳滤波器

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摘要

Space-time (ST) processing in navigation receivers is attractive technology because it provides a sufficient number of degrees of freedom for cancelling a large number of wideband and narrowband jammers simultaneously. Low complexity reduced-rank receiver structures are particularly appealing because the number of filter coefficients can be much larger than the rank of the ST signal model. This paper proposes a new Householder-based multistage Wiener filter (HMSWF) structure for estimating the coefficients of an ST navigation receiver. Both floating point and fixed point arithmetic implementations are considered. The computational complexity of the HMSWF compares favorably with the other MSWF methods reported in literature. Furthermore, the use of Householder transformations at each stage ensures unitary blocking and numerically robust behavior even in finite-precision implementations. Simulations studies verify that the proposed ST navigation receiver based on the HMSWF outperforms other MSWF methods in the antijamming (A,J) task.
机译：导航接收器中的时空（ST）处理是一项引人注目的技术，因为它提供了足够数量的自由度，可以同时消除大量宽带和窄带干扰。低复杂度的降秩接收机结构特别吸引人，因为滤波器系数的数量可能比ST信号模型的秩大得多。本文提出了一种新的基于Householder的多级维纳滤波器（HMSWF）结构，用于估计ST导航接收机的系数。浮点运算和定点运算都考虑在内。与文献报道的其他MSWF方法相比，HMSWF的计算复杂度高。此外，即使在有限精度的实现中，在每个阶段使用Householder变换也可以确保单一阻塞和数值鲁棒的行为。仿真研究证实，基于HMSWF的ST导航接收机在抗干扰（A，J）任务中优于其他MSWF方法。

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