New techniques in adaptive multi-scale CFAR and MIMO radar

Jeong Hun Kim, Purdue University

Abstract

A new constant false alarm rate (CFAR) detection algorithm operating in non- homogeneous clutter is proposed in this disseration. The proposed CFAR algorithm, Cell-Under-Test Inclusive (CI) CFAR, utilizes a goodness-of-fit test for determining and combining homogeneous windows, resulting in a higher detection performance. The CI-CFAR algorithm layout and analytical properties for the ideal case are investigated. In comparison to the traditional Cell-averaging (CA) CFAR and Order-statistic (OS) CFAR, it is demonstrated that CI-CFAR outperforms both in most situations. Also, the relationship between efficient sorting and homogeneity is investigated. Then the volume bounds on the coherent Multiple-Input Multiple-Output (MIMO) ambiguity function are investigated. The coherent MIMO radar delay-Doppler ambiguity function is the coherent sum of all auto and cross-ambiguity functions of the K spatially diverse waveforms. It is demonstrated that the upper bound on the attainable “clear area” for the coherent MIMO ambiguity function is as good as the conventional Woodward single-waveform ambiguity function, which is better than the bounds obtained from the incoherent MIMO ambiguity function. Finally, a new technique, dubbed Space-Time LandScaping (STLS), is investigated. The main idea is that if the two or more transmitted waveforms in a MIMO radar system are all different, then the coherent sum of the waveforms in each point in space will be different in general. The difference is investigated in the hopes of increasing performance, particularly in resolution. It is shown that the families of waveforms and the criteria used in this dissertation exhibit no immediate advantages over the single waveform case. Some properties of STLS are proven in hopes of finding different criteria and/or families of waveforms that can demonstrate the benefits of MIMO radar systems in future research.

Degree

Ph.D.

Advisors

Bell, Purdue University.

Subject Area

Computer Engineering|Electrical engineering

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