DocumentCode :
2429987
Title :
Spectral estimation for clutter processing in digital radars by Dimension-Adaptive Particle Swarm Optimization (DA-PSO)
Author :
Osadciw, Lisa Ann ; Yan, Yanjun
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
fYear :
2009
fDate :
1-4 Nov. 2009
Firstpage :
1668
Lastpage :
1672
Abstract :
Power spectrum estimation from radar data is essential for target detection. For instance, microburst causes detrimental effects on airplane performance, and hence its detection is critical. We compare auto-regression (AR), Periodogram, Kaiser windowed Periodogram, and multiple-signal-classification (MUSIC) methods for microburst clutter spectrum estimation. Given a long train of returned signal, we are able to segment the signal to obtain multiple estimations of the parameters, which leads to a more accurate estimation after coefficient averaging. The estimated power spectrum is then integrated for clutter magnitude calculation to determine whether a target is present at certain cell. The magnitude of clutters in an ensemble from a wide region spatially or through time temporally is used to estimate the clutter map. We choose a K-distribution mixture model over the traditional Rayleigh distribution to better approximate the tail structure of the distribution to minimize the false alarm rate. We show that Dimension-Adaptive Particle Swarm Optimization (DA-PSO) is robust to sample size in estimating the K-distribution mixture model, which is desirable for real-time implementations.
Keywords :
estimation theory; particle swarm optimisation; radar clutter; radar signal processing; spectral analysis; K-distribution mixture model; Rayleigh distribution; clutter map; digital radars; dimension-adaptive particle swarm optimization; false alarm rate; microburst clutter spectrum estimation; parameter estimation; power spectrum estimation; radar data; target detection; Airplanes; Multiple signal classification; Object detection; Parameter estimation; Particle swarm optimization; Probability distribution; Radar clutter; Radar detection; Robustness; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-5825-7
Type :
conf
DOI :
10.1109/ACSSC.2009.5469793
Filename :
5469793
Link To Document :
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