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In this paper, we propose a novel algorithm based on fast block LMS (least mean square) adaptive filter, called RD-FBLMS (range-Doppler fast block LMS) for direct path and multipath interferences cancellation in DVB-T (digital video broadcasting—terrestrial) passive bistatic radars (PBRs). These interferences represent some of the major problems in PBR systems, generated by signals received from the...
In this paper, we propose to use the FBLMS (Fast Block Least Mean Square) algorithm for Direct Path and Zero-Doppler Multipath Interferences (DPI and ZDMI) cancellation in DVB-T (Digital Video Broadcasting Terrestrial) Passive Bistatic Radars (PBRs). Diverse adaptive techniques are considered in passive radars' literature but most of them are computationally intensive when the DVB-T signal is used...
This paper investigates the problem of automatic target detection in a Pareto background under multiple target situations. The number of interfering targets is assumed to be unknown. We derive the Enhanced Variability Index Automatic Selection and Detection Constant False Alarm Rate (EVI-ASD-CFAR) Processor. This latter selects and matches dynamically the suitable detector among the Geometric Mean...
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...
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...
This paper investigates the problem of automatic target detection in a Pareto background under multiple target situations. The number of interfering targets is assumed to be unknown. We derive the Enhanced Variability Index Automatic Selection and Detection Constant False Alarm Rate (EVI-ASD-CFAR) Processor. This latter selects and matches dynamically the suitable detector among the Geometric Mean...
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