Title :
A New Narrowband Interference Mitigation Algorithm Based on Adaptive Wavelet Packet Decomposition
Author :
Wei Wang ; Meng Guo ; Jun Bo Chen
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
In order to suppress the non-stationary interference in GNSS signal, a new interference mitigation algorithm based on adaptive wavelet packet decomposition is proposed. The new algorithm combined wavelet packet decomposition (WPD) with the Convex-combined Least Mean Square (CLMS) adaptive filtering. Firstly, the energy compaction measurement (ECM) and the sub-band power ratio (SPR) are used to identify the interference sub-bands. Then the CLMS is used to process the sub-bands´ wavelet packet coefficients. Finally, time domain data is obtained by the wavelet packet reconstruction. The simulation results show that the proposed method has better performance compared with fixed-step adaptive filtering algorithm under linear frequency modulation (LFM) interference.
Keywords :
adaptive filters; frequency modulation; interference suppression; wavelet transforms; CLMS; ECM; GNSS signal; LFM interference; SPR; WPD; adaptive wavelet packet decomposition; convex-combined least mean square; energy compaction measurement; fixed-step adaptive filtering algorithm; interference subbands; linear frequency modulation interference; narrowband interference mitigation algorithm; nonstationary interference; subband power ratio; time domain data; wavelet packet coefficients; wavelet packet reconstruction; Adaptive filters; Filter banks; Global Positioning System; Interference; Least squares approximations; Wavelet packets; convex-combined LMS; transform-domain interference mitigation; wavelet packet decomposition;
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-6574-8
DOI :
10.1109/IMCCC.2014.10
