Unimodular multiple‐input‐multiple‐output radar wave‐form design with desired correlation properties. Issue 3 (9th November 2021)

• Record Type: Journal Article
• Authors: Huang, Zhongrui; Shi, Yingchun; Tang, Bo; Zhang, Junning
• Is Part Of: IET radar, sonar & navigation. Volume 16:Issue 3(2022)
• Page Start: 412
• Page End: 425
• Publication Date: 2021-11-09
• Subjects: constant modulus -- correlation property -- majorisation‐minimisation -- MIMO radar -- waveform design; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/rsn2.12192
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract: Unimodular waveforms with good correlation properties are desired for multiple‐input‐multiple‐output radar to achieve an increased transmitting/receiving virtual aperture. In this study, a new optimisation framework is introduced to design waveforms with good correlations. It is shown that many existing waveform design problems can be incorporated into this framework. Since the considered problem is in general highly non‐linear and non‐convex, an iterative optimisation method based on majorisation‐minimisation is developed. By carefully devising the surrogate function, the only requirement is to deal with a series of simple problems, which have closed‐form solutions. The proposed algorithm can be implemented via fast Fourier transform and hence is computationally efficient. In addition, the proposed algorithm is extended to deal with spectral constraints. Numerical results demonstrate the efficiency of the proposed algorithm compared with the state‐of‐the‐art techniques.