用信號子空間法對測向陣元位置進(jìn)行校準(zhǔn)
SENSOR LOCATION CALIBRATION USING SIGNAL SUBSPACE METHODS FOR DIRECTION FINDING TECHNIQUE
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摘要: 天線陣元位置的不確定性會嚴(yán)重影響天線的測距和測向性能。本文針對基于陣列協(xié)方差矩陣特征值分解的測向方法,在遠(yuǎn)場情況下,提出了用三個未知精確方向的校準(zhǔn)信號源對陣元位置進(jìn)行校準(zhǔn)的方法。文中詳細(xì)敘述了利用提取出的信號子空間來進(jìn)行校準(zhǔn)的迭代算法,證明了該算法能穩(wěn)定地收斂到全局最優(yōu)點。特別關(guān)鍵的是,文中給出了選取校準(zhǔn)源方向的技術(shù)。模擬結(jié)果表明,本文所提出的方法是有效的,也是可行的。
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關(guān)鍵詞:
- 測向; 空間譜; 校準(zhǔn)
Abstract: The sensor location uncertainty of an array degrades severely its performance of the target-source's distance detection and direction finding. In the case of far field sources, for the direction finding technique based on decompositing the eigenvalue of a matrix, a new method is presented. The method calibrates the sensor location uncertainty utilizing three radiation sources whose directions are not known accurately. In this paper a new iterative algorithm using the extracted signal subspace is developed, and the iterative procedure is analysed in detail to show why this algorithm converges to the global optimal point. It is the very key point that a technique for selecting directions of calibrating sources is given. Simulation results illustrate that the new method presented here is successful and practicable. -
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