Compressive parametric GLRT detector for airborne MIMO radar
Ahmed, K and PATWARY, Mohammad and ABDEL-MAGUID, Mohamed (2011) Compressive parametric GLRT detector for airborne MIMO radar. In: Wireless Communications and Signal Processing (WCSP), 2011 International Conference on, 9-11 Noivember 2011.
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Abstract or description
In this paper, an improved target detection algorithm for MIMO airborne radar has been proposed namely, Compressive Parametric Generalized Likelihood Ratio Test (CP-GLRT). The Parametric Generalized Likelihood Ratio Test (P-GLRT) and Generalized likelihood ratio test (GLRT) are also studied considering the availability of secondary data. The signal is assumed to be spatially and temporally colored. The noise signal is modeled as an auto-regressive process. Performance of the proposed CP-GLRT detector is compared with existing P-GLRT and GLRT detectors. Detailed comparative results have been obtained for different compression ratios as well as different number of samples. It is observed that by using compressive parametric GLRT, the computational burden on the system can be reduced. However this reduction in computational burden is achieved as a trade off with the performance of the detector. Moreover, the performance of the CP-GLRT can be improved by choosing an adaptive measurement matrix from the transmitted signal subspace.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||H100 General Engineering
H300 Mechanical Engineering
H900 Others in Engineering
|Faculty:||Faculty of Computing, Engineering and Sciences > Engineering|
|Depositing User:||Khaja MOHAMMED|
|Date Deposited:||08 May 2013 07:59|
|Last Modified:||08 May 2013 07:59|
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