Transmit Signal Design in Colocated MIMO Radar Without Covariance Matrix Optimization

• Published in: IEEE transactions on aerospace and electronic systems Vol. 53; no. 5; pp. 2178 - 2186
• Main Authors: Imani, Sadjad, Nayebi, Mohammad Mahdi, Ghorashi, Seyed Ali
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-10-2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer simulation; Constant envelop; Covariance matrices; Covariance matrix; Design optimization; Interference; MIMO radar; multiple-input multiple-output (MIMO) radar; Optimization; Phased arrays; sequential algorithm; Signal to noise ratio; waveform design; Waveforms
• ISSN: 0018-9251; 1557-9603
• DOI: 10.1109/TAES.2017.2686618

In this paper, the problem of the waveform design for colocated multiple-input multiple-output (MIMO) radars is considered in two parts. In the first part, we design transmit waveform in order to approximate the desired beampattern with low number of samples in the transmitter. Unlike the traditional waveform design methods, in our solution, waveforms are designed for a specific number of samples. Also, the constant envelope constraint that is an important practical constraint is considered. In the second part, we jointly design the transmit waveform and receive filter by a sequential algorithm, considering a priori information of target and interference angle locations. We have evaluated the performance of the proposed algorithms via numerical simulations and shown that the proposed algorithm in the first part is able to approximate the desired beampattern with low number of samples. Also, our method in the second part achieves better signal-to-interference-plus-noise ratio performance compared with the existing active sensing array methods (e.g., phased-array and correlated MIMO radars).