期刊
IEEE TRANSACTIONS ON SIGNAL PROCESSING
卷 49, 期 8, 页码 1605-1613出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/78.934131
关键词
direction of arrival; fractional lower order statistics; impulsive noise; MUSIC; subspace method; symmetric alpha; stable process
We propose several classes of fractional lower order moment (FLOM)-based matrices that can be used with MUSIC to estimate the DOAs of independent circular signals embedded in additive S alphaS noise (e.g., sea clutter). We ran simulations with different choices of FLOM parameter p for our FLOM-based matrices and conclude that when the noise is S alphaS with unknown alpha not equal 2, FLOM-multiple signal clasification (MUSIC) with p close to unity yields good performance. The performance of FLOM-MUSIC and robust covariation-based (ROC)-MUSIC are similar. Three scenarios that contain circular signals [phase modulation (PM), circularly symmetrical Gaussian, and quaternary phase-shift keying (QPSK)] and one scenario that contains noncircular signals [binary phase-shift keying (BPSK)I, all embedded in the same S alphaS noise, are tested, These simulation results reveal that the scenario containing BPSK signals leads to poor performance, indicating that FLOM-MUSIC is presently limited to circular signals.
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