An iterative maximum-likelihood-based parameter estimation algorithm for Nakagami-m distribution

2008 ◽  
Author(s):  
Sohail Dianat ◽  
Raghuveer Rao
Keyword(s):  
Parameter Estimation ◽  
Maximum Likelihood ◽  
Estimation Algorithm ◽  
Parameter Estimation Algorithm ◽  
Iterative Maximum Likelihood

scholarly journals Fast Implementation of Approximated Maximum Likelihood Parameter Estimation for Frequency Agile Radar under Jamming Environment

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2022
Author(s):  
Yang Zhao ◽  
Jianxin Wu ◽  
Zhiyong Suo ◽  
Xiaoyu Liu
Keyword(s):  
Parameter Estimation ◽  
Maximum Likelihood ◽  
Order Approximation ◽  
Estimation Algorithm ◽  
Adaptive Beamforming ◽  
Computationally Efficient ◽  
Fine Grid ◽  
Frequency Agile ◽  
Parameter Estimation Algorithm ◽  
Deceptive Jamming

A computationally efficient target parameter estimation algorithm for frequency agile radar (FAR) under jamming environment is developed. First, the barrage noise jamming and the deceptive jamming are suppressed by using adaptive beamforming and frequency agility. Second, the analytical solution of the parameter estimation is obtained by a low-order approximation to the multi-dimensional maximum likelihood (ML) function. Due to that, fine grid-search (FGS) is avoided and the computational complexity is greatly reduced.

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