Abstract

Investigation of Passive Radar Target Detection Performance Improvement by Using Multiple Co-located FM Radio Transmitters

Highlights

  • Nowadays, wireless broadcasters, which are increasing in number, can lead to electromagnetic pollution and indirect health problems [1]

  • It has been shown that the proposed method improves the target detection performance of FM signals without introducing additional load to the system and reduces the performance fluctuations and ghost targets that are generated in passive radar systems due to the modulation content

  • The performance critical parts of the library are written in C++ and the rest are coded in Python programming language which makes real-time signal processing flexible and cost effective. It is aimed at FM radio signals, which are widely available with reasonably high output power levels, for target detection performance improvement

Read more

Summary

Introduction

Wireless broadcasters, which are increasing in number, can lead to electromagnetic pollution and indirect health problems [1]. The usual approach was to generate multiple target detection surfaces by using individual transmitters and linearly adding them In these proposed methods, the use of individual transmitters and the creation of separate rangeDoppler frequency surfaces double the signal processing cost for each channel. The use of individual transmitters and the creation of separate rangeDoppler frequency surfaces double the signal processing cost for each channel In another approach, the detected targets were compared with the data obtained from different transmitters and the false target detection performance was improved [7]. A 10 MHz FM frequency band with multiple FM transmitters is digitized using software-based radio equipment and libraries In this frequency band, two individual FM stations which are known being co-located and transmitting with the same antenna direction are separated and simultaneously added in the time domain to obtain the final data for target detection.

Software defined radio and data collection
Analysis of the self-ambiguity functions
Target detection performance comparison
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.