English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper investigates the use of the transform domain adaptive filtering algorithm to suppress norrowband jammers in Beidou B3 signal, which reduces the amount of calculation and improves Convergence properties compared to the time domain least mean square algorithm. The theorem and derivation process of the timeand frequency domain adaptive filters and the convergence property is discussed. Finally, analysis the frequency spectrum properties of transform domain adaptive filtering before and after suppressing of the narrowband jammers and the convergence of weights and mean square error via matlab simulation, And compare to the time domain least mean square which show that the frequency domain adaptive filtering can effectively suppress the single-tone jammer. Keywords-the least mean square; tap weight convergence; adaptive filtering; single-tone jammer; matlab simulation

The suppression of Narrow band jammers algorithm and the implementation of Beidou B3 signal