scholarly journals Probabilistic SVM for open set automatic target recognition on high range resolution radar data

2017 ◽  
Author(s):  
Jason D. Roos ◽  
Arnab K. Shaw
Keyword(s):  
Target Recognition ◽  
Radar Data ◽  
Automatic Target Recognition ◽  
Range Resolution ◽  
Open Set ◽  
High Range Resolution Radar ◽  
High Range

scholarly journals Compressive Sensing-Based Bandwidth Stitching for Multichannel Microwave Radars

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 665
Author(s):  
Paul Berry ◽  
Ngoc Hung Nguyen ◽  
Hai-Tan Tran
Keyword(s):  
Compressive Sensing ◽  
Matching Pursuit ◽  
Target Recognition ◽  
Radar Data ◽  
Effective Bandwidth ◽  
Sparse Reconstruction ◽  
Range Resolution ◽  
Combining Data ◽  
Temporal And Spatial ◽  
High Range

The problem of obtaining high range resolution (HRR) profiles for non-cooperative target recognition by coherently combining data from narrowband radars was investigated using sparse reconstruction techniques. If the radars concerned operate within different frequency bands, then this process increases the overall effective bandwidth and consequently enhances resolution. The case of unknown range offsets occurring between the radars’ range profiles due to incorrect temporal and spatial synchronisation between the radars was considered, and the use of both pruned orthogonal matching pursuit and refined l 1 -norm regularisation solvers was explored to estimate the offsets between the radars’ channels so as to attain the necessary coherence for combining their data. The proposed techniques were demonstrated and compared using simulated radar data.

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