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An Improved Detection Algorithm of Moving Targets Based on Envelope Alignment in Sea Environments

Published: 09 April 2022 Publication History

Abstract

Detection algorithm has been widely applied in water surface targets detection. However, the traditional algorithm cannot effectively detect those slow moving targets. This paper proposes a modified detection algorithm to improve accumulation gain while eliminating positional deviation of imaging output. First, the echoes of non-cooperative target are compensated by azimuth filtering. The range pulse compression and radar speed compensation are implemented subsequently. To effectively correct the range walk caused by target motion, range alignment based on profile correlation is performed. Ultimately, the aligned signals are accumulated through azimuth Fast Fourier Transform (FFT). Effectiveness of the proposed method is verified by experimental results based on simulated data.

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  1. An Improved Detection Algorithm of Moving Targets Based on Envelope Alignment in Sea Environments
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            cover image ACM Other conferences
            ICRAI '21: Proceedings of the 7th International Conference on Robotics and Artificial Intelligence
            November 2021
            135 pages
            ISBN:9781450385855
            DOI:10.1145/3505688
            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 ACM 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

            New York, NY, United States

            Publication History

            Published: 09 April 2022

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            Author Tags

            1. Monopulse radar
            2. envelope alignment
            3. target detection

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