Analisis Pengolahan Sinyal Radar Frequency Modulated Continuous Wave untuk Deteksi Target

Siska Aulia, Suhartono Tjondronegoro, Rahmadi Kurnia


On this report has been simulated signal generation Frequency Modulated Continuous Wave (FMCW) radar to determine the distance and speed of the target. This design FMCW radar system for traffic management applications that monitor ground traffic. FMCW system does not require a large transmit power to obtain sufficient Signal to Noise (SNR)  values for target detection process. FMCW radar system's ability to detect targets depends on the signal SNR beat. Target reflected signal indicates the presence of a moving target motion characteristics and Radar Cross Section (RCS). Beat signal SNR used in this study was 20 dB, where the characteristics of the target RCS fluctuations are modeled by models swerling 5 (without fluctuations) and probability of false alarm is 10-7. Radar system to detect moving targets using the doppler effect.  GNU Radio as Software Defined Radios are used in the telecommunications simulation. Radar front end basically has the same architecture with radio communications in general, software defined radio, can be used to design FMCW radar to reduce the cost and complexity of the calculations. FMCW radar signal processing is simulated in Matlab and GNU radio capable of detecting a single target and five targets. Simulation results obtained with the calculation.

Keywords: FMCW radar, GNU Radio, beat signal, doppler effect   



Penelitian ini mensimulasikan pembangkitan sinyal radar Frequency Modulated Continuous Wave (FMCW) untuk mendeteksi target dengan informasi jarak dan kecepatan target. Sistem radar FMCW ini didesain untuk aplikasi pengaturan lalu lintas darat yaitu memonitoring lalu lintas. Sistem radar FMCW tidak memerlukan daya pancar yang besar untuk mendapatkan nilai Signal to Noise (SNR) yang cukup untuk proses deteksi target. Kemampuan sistem radar FMCW untuk mendeteksi target tergantung pada SNR sinyal beat. Sinyal yang dipantulkan oleh target bergerak menunjukkan adanya kehadiran suatu target yang memiliki karakteristik gerak dan Radar Cross Section (RCS). SNR sinyal beat yang digunakan pada penelitian ini 20 dB, dimana karakteristik target dimodelkan dengan model fluktuasi RCS swerling 5 (tanpa fluktuasi) dan probabilitas false alarm yaitu 10-7. Sistem radar untuk mendeteksi target bergerak dengan menggunakan efek doppler. Simulasi GNU Radio sebagai Software Defined Radio digunakan dalam simulasi telekomunikasi. Radar front end pada dasarnya memiliki arsitektur yang sama dengan komunikasi radio pada umumnya, software defined radio, dapat digunakan untuk mendesain radar FMCW untuk mengurangi biaya dan kompleksitas dalam perhitungannya. Pengolahan sinyal radar FMCW yang disimulasikan pada Matlab dan GNU radio mampu mendeteksi satu target dan lima target. Hasil simulasi yang diperoleh sama dengan hasil perhitungan.

Keywords : FMCW radar, GNU Radio, beat signal, doppler effect


Full Text:



Mark A. Richards, “Fundamental of Radar Signal Processing”, McGraw-Hill 2005

B. R. Mahafza, Radar Systems Analysis and Design Using MATLAB. CRC Press. 2009.

Merrill I. Skolnik, “RADAR HANDBOOK”,Third Edition.The McGraw-Hill Companies. 2008.

Bu-Chin Wang, “Digital Signal Processing Techniques and Applications in Radar Image Processing”. Published by John Wiley & Sons, Inc., Hoboken, New Jersey,2008.

Eryildirim Abdulkadir, Onaran Ibrahim, and Etin A.“Pulse Doppler Radar Target Recognition using a Two-Stage SVM Procedure”, IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS VOL. 47, NO. 2 APRIL 2011.

Aditya Prabaswara, Achmad Munir,Andriyan Bayu Suksmono, GNU Radio Based Software-Defined FMCW Radar for Weather Surveillance Application, The 6th International Conference on Telecommunication Systems, Services, and Applications 2011

L. K. Patton, A GNU Radio Based Software-Defined Radar, Wright State University, Thesis, 2007.

Faiza Ali, Martin Vossiek, Detection of Weak Moving Targets Based on 2-D Range-Doppler FMCW Radar Fourier Processing. Institute of Electrical Information Technology, Clausthal University of Technology, Germany.2010.

A. Wojtkiewicz, J. Misiurewicz, M. Nalecz, K. Jedrzejewski and K. Kulpa, Two-Dimensional Signal Processing In FMCW Radars, Politechnika Warszawska, Warszawa, 1996.

D. Bonefačić, J. Jančula, and Majurec, “Model of a Monopulse Radar Tracking System for Student Laboratory”. Radio Engineering, vol. 16, no. 3, September 2007.

Iván Lozano Mármol, “Monopulse Range-Doppler FMCW Radar Signal Processing for Spatial Localization of Moving Targets”, Technische Universität Clausthal Institut für Elektrische Informationstechnik.2012.

Li Su, Hsien Shun Wu and Ching-Kuang C. Tzuang “2-D FFT and Time-Frequency Analysis Techniques for Multi-Target Recognition of FMCW Radar Signal”,Proceedings of the Asia-Pacific Microwave Conference 2011.

Erman Ozdemir ,”Super Resolution Spectral Estimation Methods for Buried and Through-the-wall Object Detection”. Electrical and electronics engineering, middle east technical university. 2005 .



  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.



Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Statistic and Traffic