DOD and DOA estimation using the spatial smoothing in MIMO radar with the EmV sensors

This paper deals with the directions of departure (DOD) and directions of arrival (DOA) estimation of coherent and noncoherent targets in bistatic MIMO radar with the electromagnetic vector (EmV) sensors. The high-resolution eigenspace-based methods such as, estimation of signal parameters via rotat...

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Bibliographic Details
Published in:Multidimensional systems and signal processing 2018-10, Vol.29 (4), p.1241-1253
Main Authors: Chintagunta, Srinivasarao, Palanisamy, P.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Circuits and Systems
Computer simulation
Direction of arrival
Electrical Engineering
Engineering
Monte Carlo simulation
Parameter estimation
Performance enhancement
Radar
Sensors
Signal classification
Signal,Image and Speech Processing
Spatial smoothing
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Summary:This paper deals with the directions of departure (DOD) and directions of arrival (DOA) estimation of coherent and noncoherent targets in bistatic MIMO radar with the electromagnetic vector (EmV) sensors. The high-resolution eigenspace-based methods such as, estimation of signal parameters via rotational invariance technique (ESPRIT), multiple signal classification, etc., fails to estimate DOD and DOA of fully or partially correlated targets. In order to employ these methods, a new pre-processing method is developed based on the spatial smoothing in MIMO radar with the EmV sensors. Then, the directions are estimated using the ESPRIT algorithm. Monte-Carlo simulations are performed to investigate the estimation-accuracy and resolution-capability of the proposed approach, and to compare with no pre-processing and the existing method. The simulation result shows that, the proposed methodology improves the performance significantly.
ISSN:0923-6082
1573-0824
DOI:10.1007/s11045-017-0500-1