Title :
Spatial time-frequency MUSIC algorithm in α stable distribution noise environment
Author :
Long Junbo ; Zha Daifeng ; Wang Haibin
Author_Institution :
Coll. of Electron. & Eng., Jiujiang Univ., Jiujiang, China
Abstract :
The α stable distribution has been suggested as a more appropriate model in the field of Direction of Arrival(DOA) estimation of non-stationary array signals processing. DOA estimation mean-squared error(MSE) of ROC-MUSIC, FLOM-MUSIC based on Fractional Low Order Moment(FLOM) matrices and STF-MUSIC based on Spatial Time-Frequency Matrices(STFDM) was greater in low GNSR α stable distribution environment, resolution was lower. Hence, a new Time-Frequency FLOM-MUSIC(TF-FLOM-MUSIC) method employed FLOM-STFDM was proposed, procedures of algorithm was introduced in this paper. Simulations show that the technique demonstrate the advantages in terms of resolution and MSE than TF-MUSIC and FLOM-MUSIC, was robust.
Keywords :
array signal processing; direction-of-arrival estimation; mean square error methods; signal classification; time-frequency analysis; α stable distribution noise environment; DOA estimation; GNSR; MSE; ROC-MUSIC; STFDM; direction of arrival estimation; fractional low order moment matrix; mean-squared error; multiple signal classification; nonstationary array signal processing; spatial time-frequency MUSIC algorithm; spatial time-frequency matrix; time-frequency FLOM-MUSIC; Covariance matrices; Direction-of-arrival estimation; Estimation; Multiple signal classification; Noise; Signal processing algorithms; Time-frequency analysis; Alpha (α) stable distribution; Fractional Low Order Statistic; Spatial Time-Frequency Distribution Matrices; Time-Frequency MUSIC;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885613