Optimization of Target Detection Performance in Rotating Multichannel Radar Systems

IF 1.4 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Zheyi Liu, Yifeng Wu, Kai Luo, Lei Zhang, Jianxin Wu, Jia Duan
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Abstract

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.

Abstract Image

旋转多通道雷达系统目标检测性能优化
在汽车雷达的应用中,车辆转弯是一个非常关键的场景。旋转角速度的引入会导致前向测速雷达的多普勒频移,导致多通道回波数据的散焦。本文试图提出一种补偿和校正旋转角速度的方法,通过补偿每个通道的速度来实现能量跨通道的集中。考虑到车载平台的旋转角度,由于主波束覆盖范围较大,必须考虑未知目标的真实入射角。因此,我们考虑目标的到达角度,在探测过程中在主波束范围内进行搜索。当目标的真实到达角被确定时,检测性能达到最佳水平。采用本文提出的转速搜索方法,在四通道旋转雷达平台下,目标检测信噪比提高了约15 dB,这与本文后续章节推导的信噪比相干积累理论增益一致。此外,获得平台转速的精确值可能并不总是那么容易。因此,我们将转速纳入搜索范围。进行二维搜索后,检测性能图的峰值对应车载平台的真实转速和目标所在主波束范围内的角度。相反,在二维搜索中,知道任意维度的先验信息,可以加快和提高对其他维度参数的检测性能。
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来源期刊
IET Signal Processing
IET Signal Processing 工程技术-工程:电子与电气
CiteScore
3.80
自引率
5.90%
发文量
83
审稿时长
9.5 months
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
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