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題名 | Maximum Likelihood Estimation of Simultaneous Doppler and Angle for STAP Airborne Radar=時空適應性空用雷達之都卜勒與角度同時最大似然估算 |
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作者姓名(中文) | 高幼齡; | 書刊名 | 新新科技年刊 |
卷期 | 3 2007.01[民96.01] |
頁次 | 頁294-301 |
分類號 | 448.81 |
關鍵詞 | 時-空雙域適應性處理; 最大似然估算; 精簡空間維度; 精簡取樣量; 都卜勒與方位角同時估算法; STAP; Maximum likelihood estimation; Reduced-rank; Reduced-sample; Si-multaneous doppler and angle estimation; |
語文 | 英文(English) |
中文摘要 | 對傳統空用雷達而言,在強雜波及強干擾的環境下正確估測目標的方位與運動量是嚴峻的挑戰工作。時、空雙域適應性處理雷達是屬於下一代空用雷達技術,憑藉優異的主波瓣雜波壓抑能力以提升其對低速目標的偵測能力。時、空雙域適應性處理技術能夠偵測出在傳統雷達中會被旁波瓣雜波遮沒住的微弱目標;而且該雷達具有處理非穩態性電子干擾能力。 本報告將探討時、空雙域適應性處理雷達對目標方位角與都卜勒之最大似然估算法則,並提出一個精簡空間維度及精簡取樣量之更有效率的最大似然估算法則。傳統最大似然估算法則使用了所有時空雙域處理中之自由度,必須採用耗用的矩陣反置運算。本報告所提出的精簡估算法則不但避開了矩陣反置運算,並且只需要少量的取樣資料即可達到相當性能。因此本法則大幅降低運算負載與取樣資料量,而更能適用於複雜多變的環境。 |
英文摘要 | To provide the estimate of the location and motion of targets in the environment of strong clutter and interference is a challenging task for a conventional airborne radar system. STAP (Space-Time Adaptive Processing) radar is a future generation radar, which improves low-velocity target detection by means of better mainlobe clutter suppression. STAP permits the detection of targets with a smaller cross-section that might otherwise be obscured by sidelobe clutter. Also STAP provides a capability to handle non-stationary interference. The ML (Maximum Likelihood) algorithm of the steering vector of the target over all angles and Dopplers with STAP radar is investigated and associated reduced-rank and reduced-sample estimation algorithms with STAP radar are proposed in this report. The conventional ML algorithm uses all of the degrees of freedom for space-time processing, but in so doing involves a time-consuming matrix-inversion operation. A reduced-rank and reduced-sample ML estimator is proposed in this report. This improved estimator, in principle, involves no matrix inversion operations and needs much smaller amount of sample data for a given performance. Thus this proposed algorithm dramatically reduces the computational load and significantly improves the estimation performance in the severe and complex environment. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。