Filtering Performance of Digital Alternate Array on Target Tracking

Dong Kai Cao; Jun Li; Hong Ming Liu

doi:10.4028/www.scientific.net/AMM.644-650.4269

Paper Titles

Parameter Estimation of Polynomial Phase Signal by Unscented Kalman Filtering
p.4253

Design Method of H.264/AVC Video Watermarking Based on Intra Prediction Coding
p.4257

Application of Texture in a Compressed Visual Simulation
p.4261

A Low-Cost Chaotic Radar Signal Design Method
p.4265

Filtering Performance of Digital Alternate Array on Target Tracking
p.4269

A Image Registration Algorithm Based on Wavelet Pyramid for CCD Image
p.4273

The Design of Dynamic Target Echo Intermediate-Frequency Signal Source of Radar
p.4278

The Research of Calling System Based on GPS Positioning
p.4283

Content Based Images Retrieval Based on HSV Color Space and GLCM
p.4287

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Filtering Performance of Digital Alternate Array...

Filtering Performance of Digital Alternate Array on Target Tracking

Abstract:

For target tracking of agile digital array, we propose a novel model called alternate array. The model means that total array is divided into vertical subarray at the present moment, and vertical subarray is transformed into horizontal subarray at the next moment, then the subarray comes to the first subarray divisions, and so on. Alternate array gives rise to differences of statistical characters of measurement error. Filtering performance is influenced by the feature of measurement data. In the paper, we come up with a new method based on Kalman filter (KF) to solve the difficulty. The new method merges pre-processing and data fusion thought together. Simulation results demonstrate the validity of the proposed algorithm.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4269-4272

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4269

Citation:

Cite this paper

Online since:

September 2014

Authors:

Dong Kai Cao*, Jun Li, Hong Ming Liu

Keywords:

Alternate Array, Data Fusion, Digital Array, Kalman Filter

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Song Hu, Gu Hong, Wang Jian, Antenna calibration and digital beam forming technique of the digital array radar, Signal Processing, Communication and Computing(ICSPCC). 2013, pp.1-5.

DOI: 10.1109/icspcc.2013.6664097

Google Scholar

[2] R.E. Kalman, A new approach to linear filtering and prediction problems, Transaction of the ASME-Journal of Basic Engineering, 1960, pp.35-45.

Google Scholar

[3] Lennart Ljung, Asymptotic behavior of the extended kalman filter as a parameter estimator for linear systems, IEEE Trans on automatic control, vol. AC-24, NO. 1, 1979, pp.36-50.

DOI: 10.1109/tac.1979.1101943

Google Scholar

[4] James F. Banas, Andre G. Vancroux, Recursive algorithm for the calculation of the adaptive Kalman filter weighting coefficients, IEEE Trans on automatic control, 1969, April, pp.215-218.

DOI: 10.1109/tac.1969.1099155

Google Scholar

[5] Zhang peng, Qi Wenjuan, Deng Zili, et al, Covariance intersection fusion robust steady-state KF, Control and Decision, 2012, vol. 27 No. 6 pp.904-908.

Google Scholar

[6] Pan Lina, Data fusion for flight target measurement based on dissimilar sensors, Electro-optic technology application, 2009, vol. 24 No. 5 pp.34-37.

Google Scholar

[7] He You, Xiu Jianjuan, Zhang Jingwei, Guan xin, Radar data processing with application, Publishing house of electronics industry, 2009, July, pp.78-80.

Google Scholar