恒虚警率
连续波雷达
计算机科学
多普勒效应
快速傅里叶变换
雷达
计算复杂性理论
探测器
啁啾声
脉冲多普勒雷达
预处理器
假警报
算法
电子工程
人工智能
雷达成像
物理
工程类
电信
光学
激光器
天文
作者
Qiangwen Zheng,Lijie Yang,Ying Xie,Junjie Li,Heng Tang,Jiang Zhu,Chunyi Song,Zhiwei Xu
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2021-01-01
卷期号:70: 1-13
被引量:13
标识
DOI:10.1109/tim.2020.3027407
摘要
In conventional fast-ramp-based target detection schemes for the frequency modulated continuous wave (FMCW) radar systems, all chirp sequences are performed fully on two-dimensional fast Fourier transforms (FFTs) to estimate range and velocity of a target, and all range-Doppler cells are scanned by the two-dimensional (2-D) cell-averaging constant false alarm rate (CA-CFAR) detector to extract valid targets against background noise. This results in an extremely high computational complexity. To decrease the complexity while maintaining a desired performance, this article proposes a target detection scheme based on distributed one-dimensional (1-D) CA-CFAR and region-of-interest (ROI) preprocessing, which performs Doppler-FFT only for range ROI cells and scans only Doppler ROI cells to extract pretargets. Simulation results indicate that the proposed scheme significantly decreases complexity and simultaneously improves detection performance in terms of detection probability, figure of merit (FoM), and CFAR loss, as compared with the conventional schemes. The advantages of the proposed scheme over the conventional ones are further verified by field tests under multitarget scenario, using our recently developed FMCW radar with high angular resolution.
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