implementation of DVB-T based passive radar on software defined radio in order to detect fast crafts

Document Type : Original Article

Authors

1 Khorasan Institute of Higher Education, Mashhad, Iran.

2 Industry expert, Mashhad, Iran.

Abstract

Due to benefits of passive radars, implementation of these radars are considered in recent years. Among the different opportunistic signals that is used in passive radars, digital video broadcasting-terrestrial (DVB-T) signal is a good candidate, because of wide bandwidth and appropriate range resolution, high transmitted power and long coverage area. Using software defined radio (SDR), decreases the hardware dependency and implementation costs. In this paper, a DVB-T based passive radar is implemented on SDR platform. In the proposed algorithm, the cross correlation between the direct DVB-T transmitter signal and the scattered signal from the target is computed. Then the maximum value of the fast Fourier transformation (FFT) of output is computed and the target position is estimated. In order to evaluate the performance of the proposed algorithm, the direct DVB-T transmitter signal is received using SDRPLAY hardware and an antenna. The signal processing units of proposed algorithm are implemented in the GNURadio software. Simulation results show the appropriate performance of the proposed algorithm in target detection.

Keywords


[1] Dawidowicz, B., Samczynski, P., Malanowski, M., Misiurewicz, J., and Kulpa, K. S., “Detection of moving targets with multichannel airborne passive radar,” IEEE Aerospace and Electronic Systems Magazine, Vol. 27, No. 11, 2012, pp. 42–49.
[2] Colone, F., Bongioanni, C., and Lombardo, P., “Multifrequency integration in FM radio-based passive bistatic radar. Part I: Target detection,” IEEE Aerospace and Electronic Systems Magazine, Vol. 28, No. 4, 2013, pp. 28–39.
[3] Tan, D. K. P., Sun, H., Lu, Y., Lesturgie, M., and Chan, H. L., “Passive radar using global system for mobile communication signal: Theory, implementation and measurements,” IEEE Proceeding on  Radar, Sonar and Navigation, Vol. 152, No. 3, 2005, pp. 116-123.
[4] Bhatta, A., and Mishra, A. K., “GSM-based commsense system to measure and estimate environmental changes,” IEEE Aerospace and Electronic Systems Magazine, Vol. 32, No. 2, 2017, pp. 54-67.
[5] Colone, F., Langellotti, D., and Lombardo, P., “DVB-T signal ambiguity function control for passive radars,” IEEE Aerospace and Electronic Systems Magazine, Vol. 50, No. 1, 2014, pp. 329-347.
[6] Bolvardi, H., Derakhtian, M., and Sheikhi, A., “Dynamic clutter suppression and multitarget detection in a DVB-T-based passive radar,” IEEE Aerospace and Electronic Systems Magazine, Vol. 53, No. 4, 2017, pp. 1812-1825.
[7] Palmer, J. E., Harms, H. A., Searle, S. J., and Davis, L. M., “DVB-T passive radar signal processing,” IEEE Transactions on Signal Processing, Vol. 61, No. 8, 2013, pp. 2116-2126.
[8] Filippini, F., Colone, F., Cristallini, D., and Bournaka, G., “Experimental results of polarimetric detection schemes for DVB-T-based passive radar,” IET Radar, Sonar and Navigation, Vol. 11, No. 6, 2017, pp. 883-891.
[9] Suberviola, I., Mayordomo, I. and Mendizabal, J., “Experimental results of air target detection with a GPS forward-scattering radar,” IEEE Geoscience and Remote Sensing Letters, Vol. 9, No. 1, 2012, pp. 47-51.
[10] Venu, D. and Rao, N. V. K., “A cross-correlation approach to determine target range in passive radar using FM broadcast signals,” International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, 2016, pp. 524-529.