基于QR分解的高分辨率快速算法
A FAST HIGH RESOLUTION METHOD BASED ON QR DECOMPOSITION
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摘要: 以MUSIC為代表的一類基于特征分解的高分辨譜估計(jì)方法由于具有優(yōu)越的分辨性能而受到人們的普遍重視。然而,做特征分解運(yùn)算量大,工程實(shí)現(xiàn)較困難,使這類方法應(yīng)用于實(shí)際有困難。利用陣列輸出協(xié)方差矩陣的特殊結(jié)構(gòu),本文提出一種基于QR分解的高分辨譜估計(jì)方法及其改進(jìn)形式。這種方法在多數(shù)情況下性能與MUSIC方法相近,而運(yùn)算量和算法復(fù)雜性卻大大降低。
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關(guān)鍵詞:
- 陣列信號處理; 方向估計(jì); QR分解
Abstract: Many high resolution methods such as MUSIC rely on a signal subspace decomposition, which is conventionally accomplished by an eigendecomposition. However an eigendecomposi-tion is very computationally intensive and difficult to implement. In this paper, by using the special structure of the covariance matrix, a fast high resolution method based on QR decomposition is presented. In most case, the performance of the new method is similar to those of MUSIC method, but the new method has smaller computational complexity and easier for parallel implementation. -
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