Approach to detector design for statistical multiple-input–multiple-output radars using multi-scan data

• Published in: IET radar, sonar & navigation Vol. 11; no. 4; pp. 664 - 674
• Main Authors: Sharify, Soroush, Nayebi, Mohammad Mahdi
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.04.2017
• Subjects: binary algorithm; Computer simulation; Cross sections; Design analysis; Detectors; Gaussian interference; generalised likelihood ratio test detector; Likelihood ratio; MIMO radar; multi‐scan data; Navigation; piecewise linear trajectory; Radar; radar cross‐section; radar cross‐sections; radar detection; Research Article; Sonar; statistical multiple‐input–multiple‐output radars; Swerling scattering models; three‐dimensional data signal space; radar detection; multi-scan data; MIMO radar; Gaussian interference; radar cross-sections; statistical multiple-input–multiple-output radars; binary algorithm; radar cross-section; three-dimensional data signal space; piecewise linear trajectory; generalised likelihood ratio test detector; Swerling scattering models
• ISSN: 1751-8784; 1751-8792
• DOI: 10.1049/iet-rsn.2016.0328

This study considers the detector design and performance analysis in a statistical multiple-input–multiple-output radar. The authors studied this subject under some assumptions such as single point target, Swerling scattering models for radar cross-section and Gaussian interference. The target is assumed to move in a piecewise linear trajectory and multi-scan data is stored. So, the target cell may have changed during the time. A three-dimensional data signal space is generated that involved in observations from multiple scans, then a generalised likelihood ratio test detector is derived that employs consecutive observations in a central unit. Then a sub-optimum detector is introduced in which each pair of transmitters–receivers works separately and the central unit decides with a binary algorithm. The exact theoretical performances of both detectors are extracted and their qualities are compared. Numerical simulations verify all results.