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Adaptive filtering algorithms can be used on the time-domain processing of navigation receivers to suppress interference and maintain the navigation and positioning function. The filter length can affect the interference suppression performance and hardware utilization simultaneously. In practical engineering, the filter length is usually set to a large number to guarantee anti-jamming performance, which means a high-performance receiver requires a high-complexity anti-jamming filter. The study aims at solving the problem by presenting a design method for the optimal filter order in the time-domain anti-jamming receiver, with no need for detailed interference information. According to interference bandwidth and jam-to-signal ratio (JSR), the approach designed a band-stop filter by Kaiser window for calculating the optimal filter order to meet interference suppression requirements. The experimental results show that the time-domain filtering processing has achieved good interference suppression performance for engineering requirements with optimal filter order in satellite navigation receivers.

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An improved algorithm for power-inversion adaptive antenna arrays used in global navigation satellite systems (GNSS) receivers is proposed. Compared with traditional methods which select the reference element arbitrarily, the proposed method is capable of selecting the optimum reference element at signal acquisition stage. The criterion of the reference element selection is to maximise the acquisition test statistic results by developing the generalised likelihood ratio test detector. Monte Carlo simulation results show that the proposed method can improve the array performance significantly.

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