Linearly constrained RLS algorithm with variable forgetting factor for DS-CDMA system

Chern, Shiunn-Jang; Sun, C.

doi:10.1109/ispacs.2014.7024464

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…While the latter directly estimate the pole position of the filter through the signal and suppresses the interference signal through linear prediction [14]. The adaptive algorithms based on linear prediction, such as least-mean-square (LMS) algorithm [15], Recursiveleast-square (RLS) algorithm [16], Levinson-Durbin algorithm [17], Burg algorithm [18], can be used in the time-domain anti-jamming navigation receivers and have achieved good results in anti-narrowband interference [19]. The four kinds of algorithms are all based on the MMSE (Minimum Mean Square Error) criterion to calculate the inverse of the sampling matrix to obtain the optimal weight vector.…”

Section: Introductionmentioning

confidence: 99%

Optimal Order of Time-Domain Adaptive Filter for Anti-Jamming Navigation Receiver

Song

Xiao

et al. 2021

Remote Sensing

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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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