Abstract
We focus on a dual-functional multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single transmitter with multiple antennas communicates with downlink cellular users and detects radar targets simultaneously. Several design criteria are considered for minimizing the downlink multiuser interference. First, we consider both omnidirectional and directional beampattern design problems, where the closed-form globally optimal solutions are obtained. Based on the derived waveforms, we further consider weighted optimizations targeting a flexible tradeoff between radar and communications performance and introduce low-complexity algorithms. Moreover, to address the more practical constant modulus waveform design problem, we propose a branch-and-bound algorithm that obtains a globally optimal solution, and derive its worst-case complexity as function of the maximum iteration number. Finally, we assess the effectiveness of the proposed waveform design approaches via numerical results.
Highlights
IntroductionManuscript received November 14, 2017; revised April 27, 2018; accepted June 6, 2018
I T HAS been reported that by 2020, the number of connected devices will jump to more than 20 billion, which brings forward an impending need for extra frequency spectrum resources.Manuscript received November 14, 2017; revised April 27, 2018; accepted June 6, 2018
Noting that the Semidefinite Relaxation (SDR) approach solves the problem at the price of high computational costs, we propose in this subsection an Riemannian Conjugate Gradient (RCG) algorithm [51], [52], which finds a near-optimal solution within much lower complexity
Summary
Manuscript received November 14, 2017; revised April 27, 2018; accepted June 6, 2018. Date of publication June 15, 2018; date of current version July 10, 2018. The associate editor coordinating the review of this paper and approving it for publication was Prof. This paper was presented in part at the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, Kalamata, Greece, Jun. 2018, and in part at the IEEE/CIC International Conference on Communications in China, Beijing, China, Aug. 2018. This paper was presented in part at the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, Kalamata, Greece, Jun. 2018, and in part at the IEEE/CIC International Conference on Communications in China, Beijing, China, Aug. 2018. (Corresponding author: Fan Liu.)
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