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Article Information:
Wideband Radar Target Detection Theory in Coherent K Distributed Clutter
Xiandong Meng, Ganzhong Feng, Hua Xue and Zhiming He
Corresponding Author: Xiandong Meng
Submitted: June 28, 2012
Accepted: August 15, 2012
Published: February 11, 2013 |
Abstract:
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The aim of this study is to analyze the influence of neglecting K distributed clutter texture on wideband radar distributed targets detection. At first, the texture and the speckle of K clutter are researched and the Probability Density Function (PDF) of K clutter and its texture are derived, then the optimal detector by Neyman-Pearson (NP) is proposed, by contrast, another detector-Suboptimum Generalized Likelihood Ratio Test (GLRT) neglecting the clutter texture is given. Next, the estimation of covariance matrix is introduced. Finally, the numerical results are presented by means of Monte Carlo simulation strategy and the simulation results highlight that the performance loss of the 2 detectors in different shaping parameter, the result shows that the performance loss of the detector in K distributed clutter less than 1 db due to the texture is neglected and adaptively estimating the covariance matrix and the K clutter texture can be neglected on wideband radar targets detection.
Key words: Clutter texture, GLRT, K distributed clutter, Monte Carlo methods, performance loss, wideband radar ,
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Cite this Reference:
Xiandong Meng, Ganzhong Feng, Hua Xue and Zhiming He, . Wideband Radar Target Detection Theory in Coherent K Distributed Clutter. Research Journal of Applied Sciences, Engineering and Technology, (05): 1528-1532.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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