Adaptive filters for direct path and multipath interference cancellation: Application to FM-RTL-SDR based Passive Bistatic Radar

Passive Bistatic Radars (PBRs) are able to detect and track objects using reflections from foreign sources such as broadcast and/or radio communication stations. Direct path and Multipath Interference (DPI and MPI) are one of the major problems encountered in PBR systems. They are defined as signals received directly from the transmitter through the surveillance channel; which is only dedicated to receiving targets' echoes. Except their Doppler shifts, DPI, MPI and the received echoes are coherent. To filter these interferences, different adaptive techniques are considered in passive radars' literature. In this paper, we aim to evaluate the well-known adaptive filters as the Normalized Least Mean Square (NLMS) and the Recursive Least Square (RLS) by investigating their impact on the detection of FM (Frequency Modulation) passive radar based on a real source of signals using RTL-SDR (RTL2832U Realtek Software Defined Radio).

[1]  M. Modarres-Hashemi,et al.  Direct path and multipath cancellation in passive radars using Subband Variable Step-Size LMS algorithm , 2011, 2011 19th Iranian Conference on Electrical Engineering.

[2]  Ducheng Wu,et al.  Improved LMS algorithm and its application in direct path and multipath cancellation for passive radar , 2012, 2012 IEEE 14th International Conference on Communication Technology.

[3]  J. E. Palmer,et al.  Evaluation of adaptive filter algorithms for clutter cancellation in Passive Bistatic Radar , 2012, 2012 IEEE Radar Conference.

[4]  Meiguo Gao,et al.  Performance analysis of direct signal and surface clutter cancellation for bistatic noise radar with LMS filter , 2012, IEEE 10th International Conference on Industrial Informatics.

[5]  N. Detouche,et al.  Extensive Monte Carlo simulations for performance comparison of three non-coherent integrations using Log-t-CFAR detection against Weibull clutter , 2012, 2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT).

[6]  Pierfrancesco Lombardo,et al.  Multipath cancellation on reference antenna for passive radar which exploits fm transmission , 2007 .

[7]  M. Martorella,et al.  Spatial Adaptive Processing for Passive Bistatic Radar , 2014, 2014 IEEE Radar Conference.

[8]  Amir Zaimbashi,et al.  GLRT-Based CFAR Detection in Passive Bistatic Radar , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[9]  M. Cherniakov,et al.  Bistatic radar : emerging technology , 2008 .

[10]  Ducheng Wu,et al.  Direct path and multipath cancellation with discrete distribution structure in passive radar , 2012, Proceedings of 2012 2nd International Conference on Computer Science and Network Technology.

[11]  Tao Liang,et al.  A Direct Path Interference Cancellation Approach to Passive Radar Based on FM Radio transmitter , 2006, 2006 IEEE International Conference on Electro/Information Technology.

[12]  F. Colone,et al.  A Multistage Processing Algorithm for Disturbance Removal and Target Detection in Passive Bistatic Radar , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[13]  Ran Tao,et al.  Direct-path suppression by spatial filtering in digital television terrestrial broadcasting-based passive radar , 2010 .