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Content Provider | IEEE Xplore Digital Library |
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Author | Yamaguchi, H. Kajiwara, A. Hayashi, S. |
Copyright Year | 2005 |
Description | Author affiliation: Tokyo Univ. of Mercantile Marine, Japan (Yamaguchi, H.) |
Abstract | We present a coherent radar signal detection scheme in non-Gaussian distributed clutter and its simulation results. In this scheme the clutter is modeled by compound Gaussian distribution and unknown parameters, i.e. target amplitude and clutter, are estimated based on a posteriori distribution with a noninformative prior. Also a technique called Bayesian predictive densities is employed. In order to investigate the performance, we carried out the Monte Carlo simulation and its results are also compared with conventional detection schemes such as maximum likelihood and maximum a posteriori estimator. The simulation results show its usefulness. |
Sponsorship | Nat. Capital Area Council IEEE Aerospace and Electron. Syst. Soc. RADAR Syst. Panel |
Starting Page | 278 |
Ending Page | 283 |
File Size | 373616 |
Page Count | 6 |
File Format | |
ISBN | 078038881X |
DOI | 10.1109/RADAR.2005.1435834 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-05-09 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Radar clutter Signal detection Bayesian methods Radar detection Maximum likelihood estimation Millimeter wave radar Gaussian distribution Millimeter wave technology Amplitude estimation Maximum likelihood detection |
Content Type | Text |
Resource Type | Article |
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