A Novel Method of Parameter Estimation in Wideband Bistatic MIMO Radar System

2014 ◽  
Vol 556-562 ◽  
pp. 5038-5041
Author(s):  
Li Li
Keyword(s):  
Rotation Angle ◽  
Mimo Radar ◽  
Radar System ◽  
Music Algorithm ◽  
Signal Model ◽  
Bistatic Mimo Radar ◽  
Optimal Rotation ◽  
Novel Method ◽  
Esprit Algorithm ◽  
Optimal Rotation Angle

This paper proposes a new wideband signal model and a novel method in wideband bistatic MIMO radar system. Firstly, a new signal array model is proposed. Secondly, Doppler stretch and time delay are jointly estimated by searching the optimal rotation angle to meet concentrated-energy of the fractional correlation function. Furthermore, two algorithms are presented for the estimation of DODs and DOAs, including based on MUSIC algorithm and ESPRIT algorithm. Simulation results are presented to verity the effectiveness of the proposed method.

Parameter Estimation Based on Fractional Correlation under Alpha-Stable Distribution Noise Environment in Bistatic MIMO Radar System

2014 ◽  
Vol 989-994 ◽  
pp. 3710-3713
Author(s):  
Li Li
Keyword(s):  
Parameter Estimation ◽  
Stable Distribution ◽  
Impulsive Noise ◽  
Mimo Radar ◽  
Radar System ◽  
Noise Model ◽  
Distribution Model ◽  
Music Algorithm ◽  
Bistatic Mimo Radar ◽  
Noise Environment

This paper takes the-stable distribution as the noise model and works on the parameter estimation problem of bistatic Multiple-Input Multiple-Output (MIMO) radar system in the impulsive noise environment.This paper presents a signal model and a novel method for parameter estimation in bistatic MIMO radar system in the impulsive noise environment. Firstly, a signal array model is constructed based on the-stable distribution model. Secondly, Doppler parameters are jointly estimated by searching the optimal rotation angle to meet concentrated-energy of the FLOS-FC. Furthermore, two algorithms are presented for the estimation of DODs and DOAs, including based on FLOS-MUSIC algorithm and FLOS-ESPRIT algorithm. Simulation results are presented to verity the effectiveness of the proposed method.

scholarly journals Comparison of iterative angular spectrum and optimal rotation angle methods in designing beam-fanners

2009 ◽  
Vol 17 (17) ◽  
pp. 14825 ◽  
Author(s):  
Seyyed H. Kazemi ◽  
Mir M. Mirsalehi ◽  
Amir R. Attari
Keyword(s):  
Rotation Angle ◽  
Angular Spectrum ◽  
Optimal Rotation ◽  
Optimal Rotation Angle

scholarly journals Linear Regression with Optimal Rotation

Stats ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 416-425 ◽  
Author(s):  
George Livadiotis
Keyword(s):  
Linear Regression ◽  
Correlation Coefficient ◽  
Rotation Angle ◽  
Outer Region ◽  
Optimal Angle ◽  
Optimal Rotation ◽  
Optimal Value ◽  
The One ◽  
Optimal Rotation Angle ◽  
Selection Of

The paper shows how the linear regression depends on the selection of the reference frame. The slope of the fitted line and the corresponding Pearson’s correlation coefficient are expressed in terms of the rotation angle. The correlation coefficient is found to be maximized for a certain optimal angle, for which the slope attains a special optimal value. The optimal angle, the value of the optimal slope, and the corresponding maximum correlation coefficient were expressed in terms of the covariance matrix, but also in terms of the values of the slope, derived from the fitting at the nonrotated and right-angle-rotated axes. The potential of the new method is to improve the derived values of the fitting parameters by detecting the optimal rotation angle, that is, the one that maximizes the correlation coefficient. The presented analysis was applied to the linear regression of density and temperature measurements characterizing the proton plasma in the inner heliosheath, the outer region of our heliosphere.

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