Statistical Analysis of Automotive Radar Interference

被引：4
|
作者：
Pirkani, Anum [1 ]
Norouzian, Fatemeh [1 ]
Hoare, Edward [1 ]
Gashinova, Marina [1 ]
Cherniakov, Mikhail [1 ]
机构：
[1] Univ Birmingham, Sch Elect Elect & Syst Engn, Birmingham, W Midlands, England
来源：
2020 IEEE RADAR CONFERENCE (RADARCONF20) | 2020年
基金：
“创新英国”项目;
关键词：
automotive interference; statistical analysis; probability density function; probability of detection; correlation;
D O I：
10.1109/radarconf2043947.2020.9266653
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a statistical analysis of the radar detection characteristics of FMCW based automotive radar in the presence of FMCW interference. The characteristics of interference are investigated and compared with Gaussian noise by determining the distribution and probability of detection for different waveform parameters. The majority of cases show that interference in the victim receiver has a low correlation value and a probability density function close to a Gaussian distribution, with some specific cases demonstrating a sinusoidal distribution. The analysis is validated by experimental results for specific case performance in a controlled laboratory environment.
引用
收藏
页数：6
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