Abstract
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.
Highlights
With the development of satellite navigation systems, navigation interference and anti-interference have become necessary means of navigation confrontment and competition [1,2]
This study presents an optimal design method for adaptive filter order in time-domain anti-jamming processing based on the Kaiser Window
This paper introduces a design method of the optimal adaptive filter order based on prior interference knowledge
Summary
With the development of satellite navigation systems, navigation interference and anti-interference have become necessary means of navigation confrontment and competition [1,2]. Time-domain anti-jamming processing is one of the most common techniques to suppress narrowband interference in navigation receivers [6] It takes advantage of the difference between the signal and interference in the frequency spectrum and designs a filter to filter out the interference signal in the time domain [7] to ensure the normal ranging and positioning function [8]. The former obtains the power spectrum of the received signal and designs a transverse filter to significantly attenuate the interference signal’s frequency band [12,13] While the latter directly estimate the pole position of the filter through the signal and suppresses the interference signal through linear prediction [14]. This study presents an optimal design method for adaptive filter order in time-domain anti-jamming processing based on the Kaiser Window.
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