本文關鍵詞：基于多級維納濾波的非均勻環(huán)境雜波抑制方法研究　出處：《電子科技大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： 共形陣雷達 雜波抑制 非均勻性 多級維納濾波

【摘要】：空時自適應信號處理技術被廣泛應用于生物醫(yī)學工程等領域,在生命探測領域中生物雷達指能夠探測生命特征的雷達,它結合了雷達原理和生物醫(yī)學工程,可穿透性強,可在較遠的距離內(nèi)探測到生命體的生命信號。相控陣技術在雷達中得到了廣泛應用,其中共形相控陣,因為其掃描范圍寬,便于集成等獨特優(yōu)勢受到世界各國的普遍重視。不同于傳統(tǒng)的平面相控陣雷達,共形陣雷達接收的雜波往往在不同方向都呈現(xiàn)出一定的非均勻性,這種非均勻性導致了我們對雜波協(xié)方差矩陣的估計誤差增大,使得傳統(tǒng)空時自適應信號處理算法的性能嚴重下降。本文研究的主要目的就是要在考慮工程實現(xiàn)的情況下發(fā)展新的自適應處理算法來抑制共形相控陣面臨的非均勻雜波,為此本文開展了以下工作:本文首先以機頭共形陣為例建立了雜波數(shù)學模型,通過仿真和分析共形陣雷達雜波特性的基礎上,提出采用俯仰向空域濾波作為預處理方法來改善雜波的非均勻性,同時為進一步提高雜波抑制性能,后續(xù)級聯(lián)了改進的協(xié)方差矩陣加權算法以修正估計的雜波協(xié)方差矩陣。協(xié)方差矩陣求逆是空時自適應處理算法中運算量最大的部分,因此為了降低運算量,本文采用基于相關相減結構的多級維納濾波代替協(xié)方差矩陣求逆來得到抑制雜波的自適應濾波權值,最終本文提出了一種基于俯仰向空域濾波的協(xié)方差矩陣加權多級維納濾波算法,用于抑制共形陣雷達雜波。為了驗證本文算法的正確性、有效性以及通用性,我們在毫米波、米波、分米波等不同工作波長以及不同結構的共形陣下對該算法的雜波抑制性能進行了仿真。最后還對本文算法和現(xiàn)有算法的運算量進行了對比分析和仿真。仿真結果表明,本文方法抑制共形陣雷達雜波的綜合性能優(yōu)于現(xiàn)有其它方法,且計算復雜度低,收斂速度快,便于工程實現(xiàn),在共形陣雷達雜波抑制中具有實際應用前景。
[Abstract]:Space-time adaptive signal processing technology is widely used in biomedical engineering and other fields. In the field of life detection, biological radar refers to the radar which can detect the characteristics of life. It combines the principle of radar and biomedical engineering. The technology of phased array is widely used in radar, in which conformal phased array is widely used because of its wide scanning range. Different from the traditional planar phased array radar, the clutter received by conformal array radar often presents certain inhomogeneity in different directions. This inhomogeneity results in an increase in the estimation error of the clutter covariance matrix. The performance of the traditional space-time adaptive signal processing algorithm is seriously degraded. The main purpose of this paper is to develop a new adaptive processing algorithm to suppress the inhomogeneity of conformal phased array under the consideration of engineering implementation. Even clutter. In this paper, the following works are carried out: firstly, the mathematical model of clutter is established by taking the conformal array as an example, and the clutter characteristics of conformal array radar are simulated and analyzed. Pitch spatial filtering is proposed as a preprocessing method to improve the heterogeneity of clutter and to further improve the performance of clutter suppression. The improved covariance matrix weighting algorithm is cascaded to modify the estimated clutter covariance matrix. The inverse of covariance matrix is the largest part of the space-time adaptive processing algorithm, so in order to reduce the amount of computation. In this paper, multistage Wiener filter based on correlation subtraction structure is used instead of covariance matrix to obtain adaptive filtering weights for clutter suppression. Finally, this paper proposes a covariance matrix weighted multistage Wiener filtering algorithm based on pitch spatial filtering, which is used to suppress conformal array radar clutter. In order to verify the correctness, effectiveness and versatility of the proposed algorithm. We're in millimeter wave, meter wave. The clutter suppression performance of the algorithm is simulated under conformal array with different wavelengths and different structures. Finally, the computational complexity of this algorithm and the existing algorithms are compared and analyzed. The simulation results are given. To show. In this paper, the synthesis performance of conformal array radar clutter suppression is superior to that of other existing methods, and the computational complexity is low, the convergence speed is fast, and it is easy to be realized in engineering, so it has a practical application prospect in conformal array radar clutter suppression.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN957.51

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