HLA/VLA broadband adaptive beamforming detection performance comparison in shallow water

1995 ◽  
Vol 98 (5) ◽  
pp. 2932-2932
Author(s):  
William S. Hodgkiss ◽  
James J. Murray ◽  
Gerald L. D’Spain ◽  
Katherine H. Kim ◽  
Newell O. Booth ◽  
...  
Keyword(s):  
Shallow Water ◽  
Adaptive Beamforming ◽  
Performance Comparison ◽  
Detection Performance ◽  
Broadband Adaptive Beamforming

Mine detection performance comparison between manual sweeping and tele-operated robotic system

2010 ◽  
Author(s):  
Herman Herman ◽  
Todd Higgins ◽  
Olga Falmier ◽  
Jean-Sebastien Valois ◽  
Jeff McMahill
Keyword(s):  
Performance Comparison ◽  
Robotic System ◽  
Detection Performance ◽  
Mine Detection

scholarly journals Dual-Channel Particle Filter Based Track-Before-Detect for Monopulse Radar

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Fei Cai ◽  
Hongqi Fan ◽  
Qiang Fu
Keyword(s):  
Particle Filter ◽  
Doppler Radar ◽  
Pulse Repetition Frequency ◽  
Measurement Model ◽  
Performance Comparison ◽  
Detection Performance ◽  
Actual Measurement ◽  
Low Snr ◽  
Dual Channel ◽  
Track Before Detect

A particle filter based track-before-detect (PF-TBD) algorithm is proposed for the monopulse high pulse repetition frequency (PRF) pulse Doppler radar. The actual measurement model is adopted, in which the range is highly ambiguous and the sum and difference channels exist in parallel. A quantization method is used to approximate the point spread function to reduce the computation load. The detection decisions of the PF-TBD are fed to a binary integrator to further improve the detection performance. Simulation results show that the proposed algorithm can detect and track the low SNR target efficiently. The detection performance is improved significantly for both the single frame and the multiframe detection compared with the classical detector. A performance comparison with the PF-TBD using sum channel only is also supplied.

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