Title :
Particle Detection and it´s Radar Application
Author :
Sabahi, Mohamad Farzan ; Hashemi, Mahmood Modarres ; Sheikhi, Abbas
Author_Institution :
Dept. of Electr. Eng., Isfahan Univ. of Technol.
Abstract :
In this paper we introduce a new detection algorithm based on Monte Carlo sampling method. The proposed method is numerical in nature. We use importance sampling to estimate unknown parameters and calculate likelihood ratio and call it particle detector (PD). This detector can be used in wide range of detection problems. We have also presented an adaptive radar detection algorithm based on our proposed particle detection scheme
Keywords :
adaptive radar; importance sampling; particle detectors; radar applications; radar detection; radar signal processing; signal sampling; Monte Carlo sampling method; adaptive radar detection algorithm; importance sampling; parameter estimation; particle detection scheme; radar application; Bayesian methods; Clutter; Detection algorithms; Maximum likelihood estimation; Monte Carlo methods; Parameter estimation; Particle measurements; Radar applications; Radar detection; Radiation detectors; Importance Sampling; Monte Carlo methods; radar detection;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343317
