Applications of Wavelet Transform to Array Signal Processing Cogeneration Systems

• Main Authors: LEE, KUO CHANG, 李國章
• Other Authors: CHEN, YUAN HWANG
• Format: Others
• Language: zh-TW
• Published: 1995
• Online Access: http://ndltd.ncl.edu.tw/handle/82194828964372655761

碩士 === 國立中山大學 === 電機工程研究所 === 83 === Wavelet transform are best suited to signal analysis. It can decompose time-varying signals into multiresolution. In this paper, we use wavelet transforms to apply to array spatial signals for the improvement of performance in direction-of- arrival (DOA) estimation and the bearings tracking of multi- ple moving targets. In the applications of array signal pro- cessing, the incident angles resolvability of direction-of- arrival estimation usually be reduced in the environment of more noisy interference. For this point, we use the discrete wavelet transform method to decompose the array outputs into multiresolution for the reduction of spatial noise, then es- timate directions-of-arrival by high-resolution eigenstructure -based methods such as MUSIC. So the estimated angles resol- ution can be increased and the estimation performance is im- proved. In addition, discrete wavelet transform methods also can apply to the bearings tracking of multiple moving targets. The conventional methods of bearings tracking, such as the improved recursively updated method, usually have comparable tracking errors in the environment of more large noise power. For this point, we use recursive discrete wavelet method filter out the noise of time-varing spatial spectrum. So the bearings tracking of targets not only can avoid to be interfere by sp- atial noise but also have good performance.