NDLI: Design of multiple-input–multiple-output radar waveforms for Rician target detection

Content Provider	IET Digital Library
Author	Tang, Bo Tang, Jun Zhang, Yu
Abstract	This study addresses the waveform design problem of multiple-input–multiple-output (MIMO) radar. The goal is to improve the detection performance for the Rician targets. The authors first establish a general signal model, which can describe the returns by both statistical and colocated MIMO radar systems. Then they derive the associated optimal Neyman–Pearson detector and find the difficulty of optimising the waveforms that maximise the probability of detection (for a fixed probability of false alarm). Alternatively, they employ the relative entropy associated with the detection problem as the design metric. In order to tackle the non-convex waveform optimisation problem, they propose a minorisation-maximisation-based design method. They prove that the proposed method can increase the relative entropy (of the devised waveforms) at each iteration and guarantees convergence. Finally, they include several numerical examples to demonstrate the effectiveness of the proposed method.
Starting Page	1583
Ending Page	1593
Page Count	11
ISSN	17518784
Volume Number	10
e-ISSN	17518792
Issue Number	Issue 9, Dec (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/10/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0504
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-04-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Colocated MIMO Radar System Concave Programming Convergence of Numerical Method Detection Probability Maximisation Entropy General Signal Model Interpolation And Function Approximation Iterative Method MIMO Radar MIMO Radar Design Problem Minimisation Minorisation-maximisation-based Design Method Multiple-input-multiple-output Radar Waveform Design Problem Nonconvex Waveform Optimisation Problem Numerical Analysis Object Detection Optimal Neyman-Pearson Detector Optimisation Technique Radar Detection Radar Equipment Relative Entropy Rician Target Detection Signal Detection Statistical Analysis Statistical MIMO Radar System Statistics System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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