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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 19 | Page No.: 5295-5301
DOI: 10.3923/itj.2013.5295.5301
Weather Radar Range Resolution Improvement based on Steepest Descent MVDR Algorithm
Xuehua Li, Jianxin He, Fugui Zhang and Zhao Shi

Abstract: Range resolution enhancement of weather radar will improve the capability in observation of fine structure and motion of the atmosphere. Based on range oversampling echo signals, the range resolution of weather radar can be enhanced by using the MVDR algorithm. However, the MVDR algorithm is computationally intensive due to the inversion of autocorrelation matrix of echo signals and moreover, this inversion is not feasible as the autocorrelation matrix of oversampling echo signals of real weather radar is singular. To solve this problem, an improved MVDR algorithm based on steepest descent method is proposed in this study which obtains the optimal weighted coefficient by recursion and iteration and it can avoid the inversion of autocorrelation matrix. Simulation results show that the proposed method can realize enhancement of the range resolution of weather radar and its performance is greatly improved in comparison with the previous MVDR algorithm.

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How to cite this article
Xuehua Li, Jianxin He, Fugui Zhang and Zhao Shi, 2013. Weather Radar Range Resolution Improvement based on Steepest Descent MVDR Algorithm. Information Technology Journal, 12: 5295-5301.

Keywords: Weather radar, range resolution, steepest descent and MVDR

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