The Simultaneous Interpolation of Target Radar Cross Section in Both the Spatial and Frequency Domains by Means of Legendre Wavelets Model-Based Parameter Estimation

The understanding of the target radar cross section (RCS) is significant for target identification and for radar designing and optimization. In this paper, a numerical algorithm for calculating target RCS is presented which is based on Legendre wavelet model-based parameter estimation (LW-MBPE). The Padé rational function fitting model applied for MBPE in the frequency domain is enhanced to include spatial dependence on the numerator and denominator coefficients. This allows the function to interpolate target RCS in both the frequency and spatial domains simultaneously. The combination of Legendre wavelets guarantees the convergence of the algorithm. The method is convergent by increasing the sampling frequency and spatial points. Numerical results are provided to demonstrate the validity and applicability of the new technique.

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The simultaneous interpolation of antenna radiation patterns in both the spatial and frequency domains using model-based parameter estimation

IEEE Transactions on Antennas and Propagation ◽

10.1109/8.841899 ◽

2000 ◽

Vol 48 (3) ◽

pp. 383-392 ◽

Cited By ~ 49

Author(s):

D.H. Werner ◽

R.J. Allard

Keyword(s):

Parameter Estimation ◽

Radiation Patterns ◽

Antenna Radiation ◽

Model Based ◽

Frequency Domains ◽

Simultaneous Interpolation

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Spatiotemporal radar target identification using radar cross-section modeling and hidden Markov models

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2016.140908 ◽

2016 ◽

Vol 52 (3) ◽

pp. 1284-1295 ◽

Cited By ~ 4

Author(s):

Hoonkyung Cho ◽

Joohwan Chun ◽

Taeseung Lee ◽

Seungjae Lee ◽

Daeyoung Chae

Keyword(s):

Hidden Markov Models ◽

Cross Section ◽

Markov Models ◽

Hidden Markov ◽

Target Identification ◽

Radar Cross Section ◽

Radar Target

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Parameter estimation of K model of radar cross section for synthetic aperture radar images based on second-kind statistics

2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) ◽

10.1109/fskd.2014.6980941 ◽

2014 ◽

Author(s):

Zengguo Sun ◽

Zhihua Zhang

Keyword(s):

Parameter Estimation ◽

Synthetic Aperture Radar ◽

Cross Section ◽

Radar Cross Section ◽

Synthetic Aperture ◽

Radar Images ◽

Aperture Radar

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

TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol ◽

10.15575/telka.v7n2.89-99 ◽

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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