Joint Optimization of Waveform Covariance Matrix and Antenna Selection for MIMO Radar

In this paper, we investigate the problem of jointly optimizing the waveform covariance matrix and the antenna position vector for multiple-input-multiple-output (MIMO) radar systems to approximate a desired transmit beampattern as well as to minimize the cross-correlation of the received signals re...

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Veröffentlicht in:Conference record - Asilomar Conference on Signals, Systems, & Computers S. 1534 - 1538
Hauptverfasser: Bose, Arindam, Khobahi, Shahin, Soltanalian, Mojtaba
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.11.2019
Schlagworte:
Antenna selection
Covariance matrices
MIMO communication
MIMO radar
non-convex optimization algorithms
Optimization
Radar antennas
Transmitting antennas
waveform design
ISSN:2576-2303
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Beschreibung
Zusammenfassung:In this paper, we investigate the problem of jointly optimizing the waveform covariance matrix and the antenna position vector for multiple-input-multiple-output (MIMO) radar systems to approximate a desired transmit beampattern as well as to minimize the cross-correlation of the received signals reflected back from the targets. We formulate the problem as a non-convex program and then propose a cyclic optimization approach to efficiently tackle the problem. We further propose a novel local optimization framework in order to efficiently design the corresponding antenna positions. Our numerical investigations demonstrate a good performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for real-time radar signal processing applications.
ISSN:2576-2303
DOI:10.1109/IEEECONF44664.2019.9048709