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Fast and high-resolution PCL radar detection in noisy environment
Bayat, S ; Sharif University of Technology | 2006
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- Type of Document: Article
- DOI: 10.1109/IRS.2006.4338046
- Publisher: 2006
- Abstract:
- Multiple target detection in conventional PCL (Passive Coherent Location) radar systems by means of Ambiguity Function Processing and without any powerful algorithm is impossible. Presented Gradual Clean Algorithm (GCA) is a new and simple method, which could provide the perfect detection in noisy environment and heavy clutter condition up to SNR=-15 dB and SCR=-100 dB (clutter is assumed as a distributed target with large RCS). Determining the number of real targets and keeping the false alarm probability approximately constant are the presented algorithm capabilities
- Keywords:
- Alarm systems ; Clutter (information theory) ; Microwaves ; Radar ; Radio ; Targets ; Tracking radar ; Ambiguity function ; CLEAN algorithms ; False alarm probabilities ; High resolutions ; Noisy environments ; PCL (Passive Coherent Location) ; Radar detection ; Simple methods ; Target detections ; Radar systems
- Source: 2nd Microwave and Radar Week in Poland - International Radar Symposium, IRS 2006, Krakow, 24 May 2006 through 26 May 2006 ; 2006 ; 8372076219 (ISBN); 9788372076212 (ISBN)
- URL: https://ieeexplore.ieee.org/abstract/document/4068817
