Zheyi Liu, Yifeng Wu, Kai Luo, Lei Zhang, Jianxin Wu, Jia Duan
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When the true angle of arrival of the target is identified, detection performance reaches its optimal level. After, employing the rotational speed search method proposed in this paper, under a four-channel rotating radar platform, the signal-to-noise ratio (SNR) for target detection is enhanced by approximately 15 dB, which aligns with the theoretical gain from coherent accumulation of SNR derived in the subsequent sections of the paper. Furthermore, obtaining the exact value of the platform’s rotational speed may not always be easy. Hence, we incorporate the rotational speed into the search range. After, performing a two-dimensional search, the peak of the detection performance graph corresponds to the true rotational speed of the vehicle-mounted platform and the angle within the main beam range where the target is located. Conversely, knowing the prior information of any dimension in the two-dimensional search can expedite and improve the detection performance of the other dimension’s parameters.</p>","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":"2025 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/sil2/3429170","citationCount":"0","resultStr":"{\"title\":\"Optimization of Target Detection Performance in Rotating Multichannel Radar Systems\",\"authors\":\"Zheyi Liu, Yifeng Wu, Kai Luo, Lei Zhang, Jianxin Wu, Jia Duan\",\"doi\":\"10.1049/sil2/3429170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In the application of automotive radar, vehicle turning is a critical scenario. The introduction of rotational angular velocity causes Doppler shifts in forward-facing speed radars, leading to defocusing of multichannel echo data. This paper attempts to propose a method for compensating and correcting the rotational angular velocity to focus the energy across channels by compensating for the speed in each channel. Considering the rotational angles of the vehicle-mounted platform, the real incident angle of an unknown target must be accounted for since the main beam covers a relatively large range. Therefore, we include the target’s angle of arrival, conducting a search within the main beam range during detection. When the true angle of arrival of the target is identified, detection performance reaches its optimal level. After, employing the rotational speed search method proposed in this paper, under a four-channel rotating radar platform, the signal-to-noise ratio (SNR) for target detection is enhanced by approximately 15 dB, which aligns with the theoretical gain from coherent accumulation of SNR derived in the subsequent sections of the paper. Furthermore, obtaining the exact value of the platform’s rotational speed may not always be easy. Hence, we incorporate the rotational speed into the search range. After, performing a two-dimensional search, the peak of the detection performance graph corresponds to the true rotational speed of the vehicle-mounted platform and the angle within the main beam range where the target is located. Conversely, knowing the prior information of any dimension in the two-dimensional search can expedite and improve the detection performance of the other dimension’s parameters.</p>\",\"PeriodicalId\":56301,\"journal\":{\"name\":\"IET Signal Processing\",\"volume\":\"2025 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/sil2/3429170\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/sil2/3429170\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/sil2/3429170","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Optimization of Target Detection Performance in Rotating Multichannel Radar Systems
In the application of automotive radar, vehicle turning is a critical scenario. The introduction of rotational angular velocity causes Doppler shifts in forward-facing speed radars, leading to defocusing of multichannel echo data. This paper attempts to propose a method for compensating and correcting the rotational angular velocity to focus the energy across channels by compensating for the speed in each channel. Considering the rotational angles of the vehicle-mounted platform, the real incident angle of an unknown target must be accounted for since the main beam covers a relatively large range. Therefore, we include the target’s angle of arrival, conducting a search within the main beam range during detection. When the true angle of arrival of the target is identified, detection performance reaches its optimal level. After, employing the rotational speed search method proposed in this paper, under a four-channel rotating radar platform, the signal-to-noise ratio (SNR) for target detection is enhanced by approximately 15 dB, which aligns with the theoretical gain from coherent accumulation of SNR derived in the subsequent sections of the paper. Furthermore, obtaining the exact value of the platform’s rotational speed may not always be easy. Hence, we incorporate the rotational speed into the search range. After, performing a two-dimensional search, the peak of the detection performance graph corresponds to the true rotational speed of the vehicle-mounted platform and the angle within the main beam range where the target is located. Conversely, knowing the prior information of any dimension in the two-dimensional search can expedite and improve the detection performance of the other dimension’s parameters.
期刊介绍:
IET Signal Processing publishes research on a diverse range of signal processing and machine learning topics, covering a variety of applications, disciplines, modalities, and techniques in detection, estimation, inference, and classification problems. The research published includes advances in algorithm design for the analysis of single and high-multi-dimensional data, sparsity, linear and non-linear systems, recursive and non-recursive digital filters and multi-rate filter banks, as well a range of topics that span from sensor array processing, deep convolutional neural network based approaches to the application of chaos theory, and far more.
Topics covered by scope include, but are not limited to:
advances in single and multi-dimensional filter design and implementation
linear and nonlinear, fixed and adaptive digital filters and multirate filter banks
statistical signal processing techniques and analysis
classical, parametric and higher order spectral analysis
signal transformation and compression techniques, including time-frequency analysis
system modelling and adaptive identification techniques
machine learning based approaches to signal processing
Bayesian methods for signal processing, including Monte-Carlo Markov-chain and particle filtering techniques
theory and application of blind and semi-blind signal separation techniques
signal processing techniques for analysis, enhancement, coding, synthesis and recognition of speech signals
direction-finding and beamforming techniques for audio and electromagnetic signals
analysis techniques for biomedical signals
baseband signal processing techniques for transmission and reception of communication signals
signal processing techniques for data hiding and audio watermarking
sparse signal processing and compressive sensing
Special Issue Call for Papers:
Intelligent Deep Fuzzy Model for Signal Processing - https://digital-library.theiet.org/files/IET_SPR_CFP_IDFMSP.pdf