scholarly journals Joint angle and polarization parameter estimation for the new designed bistatic multiple-input multiple-output radar with long dipoles and large loops

2021 ◽  
Vol 70 (4) ◽  
pp. 044302-044302
Author(s):  
Xie Qian-Peng ◽  
◽  
Pan Xiao-Yi ◽  
Chen Ji-Yuan ◽  
Xiao Shun-Ping
Keyword(s):  
Parameter Estimation ◽  
Joint Angle ◽  
Multiple Input Multiple Output ◽  
Polarization Parameter ◽  
Multiple Input ◽  
Input Multiple Output

scholarly journals The Spatially Separated Polarization Sensitive FDA-MIMO Radar: A New Antenna Structure for Unambiguous Parameter Estimation

2018 ◽  
Vol 173 ◽  
pp. 02015
Author(s):  
Binbin Li ◽  
Weixiong Bai ◽  
Qin Zhang ◽  
Guimei Zheng ◽  
Mingliang Zhang ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Music Algorithm ◽  
Range Estimation ◽  
Antenna Structure ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Random Frequency ◽  
Frequency Diverse Array

Joint DOA-range-polarization estimation with a novel radar system, i.e., spatially separated polarization sensitive random frequency diverse array based on multiple-input multiple-output (SS-PSRFDA-MIMO) radar, is discussed. The proposed array can obtain not only unambiguous range estimation but also polarization parameter estimation. Firstly, the signal model of SS-PSRFDA-MIMO radar is constructed. Secondly, dimension reduction multiple signal classification (DR-MUSIC) algorithm is extended to parameter estimation with the proposed array. Last, simulations demonstrate the proposed algorithm is effective to estimate parameter, and the performance of proposed array is better than that of polarization sensitive frequency diverse array based on MIMO radar. It is worth mentioning that the Cramér–Rao lower bound (CRLB) of range estimation with the proposed array is much lower than that of PSFDA-MIMO radar.

Cramer-Rao Bound for Parameter Estimation in Bistatic MIMO Radar

2014 ◽  
Vol 513-517 ◽  
pp. 3385-3388
Author(s):  
Li Li
Keyword(s):  
Parameter Estimation ◽  
Target Location ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Signal Model ◽  
Wideband Signal ◽  
Wideband Signals ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Cramer Rao Bound

The problem of Cramér-Rao bound for parameter estimation in wideband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In many applications, it is not appropriate to approximate the wideband signal by the narrowband model. In this paper, we propose a new wideband signal model to accurately estimate parameter for wideband signals from a moving target. The Cramér-Rao bound for target parameter estimation is derived and computed in closed form which shows that the optimal performance is achieved. Target location and parameter estimation performances are evaluated and studied theoretically and via simulations.

Cramer-Rao Bound for Parameter Estimation in Narrowband Bistatic MIMO Radar

2014 ◽  
Vol 556-562 ◽  
pp. 5034-5037 ◽  
Author(s):  
Li Li
Keyword(s):  
Parameter Estimation ◽  
Target Location ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Signal Model ◽  
Narrowband Signal ◽  
Multiple Input ◽  
Estimate Parameter ◽  
Input Multiple Output ◽  
Cramer Rao Bound

The problem of Cramer-Rao bound for parameter estimation in norrowband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In this paper, we propose a new narrowband signal model to accurately estimate parameter from a moving target. The Cramer-Rao bound for target parameter estimation is derived and computed in closed form which shows that the optimal performance is achieved. Target location and parameter estimation performances are evaluated and studied theoretically and via simulations.

scholarly journals Identifikasi Amplitudo dan Sudut Kedatangan Sinyal Menggunakan Metode Forward-Backward APES pada Radar Multi-Antena

2021 ◽  
Vol 7 (2) ◽  
pp. 89-99
Author(s):  
Sapriansa Sapriansa ◽  
Syahfrizal Tahcfulloh
Keyword(s):  
Parameter Estimation ◽  
Least Squares ◽  
Cross Section ◽  
Phased Array ◽  
Multiple Input Multiple Output ◽  
Radar Cross Section ◽  
Phase Estimation ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Ls Estimator

Jenis sistem radar multi-antena ada dua macam yaitu phased-array (PA) dan Multiple-input Multiple-Output (MIMO). Parameter yang digunakan untuk menguji kinerja radar PA dan MIMO ada banyak sekali yang salah satunya adalah estimasi parameter yang berkaitan dengan jumlah target deteksi. Estimasi parameter termasuk di dalamnya yaitu sudut kedatangan sinyal (direction of arrival, DoA) dan amplitudo sinyal pantulan. Penelitian ini mengusulkan perluasan dari pendekatan estimasi parameter yaitu amplitudo and phase estimation (APES) yang dinamakan forward-backward APES (FBAPES). Pendekatan ini memberikan perbaikan resolusi terhadap estimasi amplitudo dan DoA dari sinyal pantulan target radar yang dikomparasikan dengan estimator konvensional seperti least squares (LS). Formulasi dan evaluasi kinerja estimator yang diusulkan akan diuji berdasarkan berbagai faktor seperti besar radar cross section (RCS), resolusi sudut antar dua target, dan jumlah elemen antena di transmitter-receiver (Tx-Rx). Resolusi sudut deteksi yang diperoleh untuk estimator ini lebih baik dari estimator LS, sebagai contoh untuk M = N = 8 maka diperoleh resolusi sudut 3o sedangkan estimator LS sebesar 5,8o. There are two types of multi-antenna radar systems, i.e. the phased-array (PA) and the multiple-input multiple-output (MIMO). There are many parameters used to test the performance of the PA and the MIMO radars, one of which is parameter estimation related to the number of detection targets. Estimated parameters include the angle of arrival of the signal (direction of arrival, DoA) and the amplitude of the reflected signal. This study proposes an extension of the parameter estimation approach, namely amplitude and phase estimation (APES), which is called forward-backward APES (FBAPES). This approach provides improved resolution of the amplitude and DoA estimates of the reflected radar target signal compared to conventional estimators such as least squares (LS). The formulation and evaluation of the performance of the proposed estimator will be carried out based on various factors such as variations in radar cross section (RCS), angular resolution between two targets, and the number of antenna elements in the transmitter-receiver (Tx-Rx). The resolution of the detection angle obtained for this estimator is better than the LS estimator, for example for M = N = 8 then the angle resolution is 3o while the LS estimator is 5.8o.

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