Title :
Signal enhancement of the spatial smoothing algorithm
Author :
Moghaddamjoo, Alireza ; Chang, Tzu-Chieh
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA
fDate :
8/1/1991 12:00:00 AM
Abstract :
A spatial smoothing algorithm to decorrelate highly correlated sources for direction-of-arrival (DOA) estimation in narrowband problems is developed. The rate of decorrelation of the coherent sources is very low and sensitive to the signal-to-noise ratio (SNR) for sources with close DOAs. A method to enhance the signal (to remove the effects of the sensor noise) and to make the spatial smoothing robust with respect to SNR is proposed. This approach will significantly improve the resolution of the algorithm. Statistical characteristics of the improved spatial smoothing are compared with that of the standard spatial smoothing
Keywords :
signal processing; DOA estimation; SNR; array processing; coherent sources; decorrelation; direction-of-arrival estimation; highly correlated sources; narrowband problems; signal enhancement; signal-to-noise ratio; spatial smoothing algorithm; statistical characteristics; Covariance matrix; Decorrelation; Direction of arrival estimation; Narrowband; Sensor arrays; Signal processing algorithms; Signal resolution; Signal to noise ratio; Smoothing methods; Spatial resolution;
Journal_Title :
Signal Processing, IEEE Transactions on