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Iterative Pre-Whitening Projection Statistics for Improving Multi-Target Detection Performance in Non-Homogeneous Clutter  

Park, Hyuck (College of Information & Communication Engineering, Sungkyunkwan University)
Kang, Jin-Whan (College of Information & Communication Engineering, Sungkyunkwan University)
Kim, Sang-Hyo (College of Information & Communication Engineering, Sungkyunkwan University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.4, 2012 , pp. 120-128 More about this Journal
Abstract
In this paper, we propose a modified iterative pre-whitening projection statistics (MIPPS) scheme for improving multi-target detection performance in non-homogeneous clutter environments. As a non-homogeneity detection (NHD) technique of space-time adaptive processing algorithm for airborne radar, the MIPPS scheme improves the average detection probability of weak target when multiple targets with different reflection signal intensities are located in close range. Numerical results show that the conventional NHD schemes suffers from the masking effect by strong targets and clutters and the proposed MIPPS scheme outperforms the conventional schemes with respect to the average detection probability of the weak target at low signal-to-clutter ratio.
Keywords
Space-time adaptive processing (STAP); Non-homogeneity detection (NHD); Generalized inner product (GIP); Projection statistics (PS); Pre-whitening PS (PPS);
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Times Cited By KSCI : 1  (Citation Analysis)
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