Title :
Beamspace bearing estimation based on wavelet transform
Author :
Jinxiang Du ; Yan Ma
Author_Institution :
Coll. of Marine, Northwestern Polytech. Univ., Xi´an, China
Abstract :
In this paper, we propose a new wideband bearing estimation method based on wavelet transform. By analyzing the relationship between the wavelet transform of the frequency invariant beam´s output and the array´s beampattern, we derived spatial power spectrum based on wavelet transform (SPS-WT). The method has good performance on noise suppression by utilizing the statistical uncorrelation character between signals and noise, and also has high resolution on bearing estimation. The performance of the proposed method is illustrated in simulation results.
Keywords :
array signal processing; direction-of-arrival estimation; statistical analysis; wavelet transforms; SPS-WT; array beampattern; beamspace bearing estimation; direction-of-arrival estimation; noise suppression; spatial power spectrum; statistical uncorrelation character; wavelet transform; wideband bearing estimation method; Educational institutions; Signal to noise ratio; Wavelet transforms;
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on
Conference_Location :
Melaka
Print_ISBN :
978-1-4799-0267-5
DOI :
10.1109/ICSIPA.2013.6708022