OCITSYSYITFeb 20, 2018

MIMO Transmit Beampattern Matching Under Waveform Constraints

arXiv:1802.0695725 citationsh-index: 66
Originality Synthesis-oriented
AI Analysis

For radar and communication system designers, this provides a more efficient solution to a known nonconvex optimization problem, though it is an incremental improvement over existing methods.

This paper tackles the MIMO transmit beampattern matching problem under practical waveform constraints, proposing an efficient one-step method based on majorization-minimization that outperforms state-of-the-art algorithms in numerical simulations.

In this paper, the multiple-input multiple-output (MIMO) transmit beampattern matching problem is considered. The problem is formulated to approximate a desired transmit beampattern (i.e., an energy distribution in space and frequency) and to minimize the cross-correlation of signals reflected back to the array by considering different practical waveform constraints at the same time. Due to the nonconvexity of the objective function and the waveform constraints, the optimization problem is highly nonconvex. An efficient one-step method is proposed to solve this problem based on the majorization-minimization (MM) method. The performance of the proposed algorithms compared to the state-of-art algorithms is shown through numerical simulations.

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