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GLRT-based Adaptive Detector for Colocated MIMO Radar in Partially Homogeneous Environment

Published: 12 June 2024 Publication History

Abstract

This paper considers the problem of target detection for collocated multiple-input multiple-output (MIMO) in partially homogeneous environment (PHE), where the noise in the test and training data share the same covariance matrix structure but with unknown power mismatch. We design an effective detector according to the generalized likelihood ratio test (GLRT). Using simulation results, we show that the proposed GLRT detector can achieve much higher probability of detection (PD) than the existing ones.

References

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AIEE '24: Proceedings of the 2024 5th International Conference on Artificial Intelligence in Electronics Engineering
January 2024
89 pages
ISBN:9798400716850
DOI:10.1145/3658835
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Published: 12 June 2024

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  1. MIMO radar
  2. adaptive detection
  3. partially homogeneous environment

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