本文關(guān)鍵詞：基于多級(jí)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(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

  更多相關(guān)文章： 共形陣?yán)走_(dá) 雜波抑制 非均勻性 多級(jí)維納濾波

【摘要】：空時(shí)自適應(yīng)信號(hào)處理技術(shù)被廣泛應(yīng)用于生物醫(yī)學(xué)工程等領(lǐng)域,在生命探測(cè)領(lǐng)域中生物雷達(dá)指能夠探測(cè)生命特征的雷達(dá),它結(jié)合了雷達(dá)原理和生物醫(yī)學(xué)工程,可穿透性強(qiáng),可在較遠(yuǎn)的距離內(nèi)探測(cè)到生命體的生命信號(hào)。相控陣技術(shù)在雷達(dá)中得到了廣泛應(yīng)用,其中共形相控陣,因?yàn)槠鋻呙璺秶鷮?便于集成等獨(dú)特優(yōu)勢(shì)受到世界各國(guó)的普遍重視。不同于傳統(tǒng)的平面相控陣?yán)走_(dá),共形陣?yán)走_(dá)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(dǎo)致了我們對(duì)雜波協(xié)方差矩陣的估計(jì)誤差增大,使得傳統(tǒng)空時(shí)自適應(yīng)信號(hào)處理算法的性能?chē)?yán)重下降。本文研究的主要目的就是要在考慮工程實(shí)現(xiàn)的情況下發(fā)展新的自適應(yīng)處理算法來(lái)抑制共形相控陣面臨的非均勻雜波,為此本文開(kāi)展了以下工作:本文首先以機(jī)頭共形陣為例建立了雜波數(shù)學(xué)模型,通過(guò)仿真和分析共形陣?yán)走_(dá)雜波特性的基礎(chǔ)上,提出采用俯仰向空域?yàn)V波作為預(yù)處理方法來(lái)改善雜波的非均勻性,同時(shí)為進(jìn)一步提高雜波抑制性能,后續(xù)級(jí)聯(lián)了改進(jìn)的協(xié)方差矩陣加權(quán)算法以修正估計(jì)的雜波協(xié)方差矩陣。協(xié)方差矩陣求逆是空時(shí)自適應(yīng)處理算法中運(yùn)算量最大的部分,因此為了降低運(yùn)算量,本文采用基于相關(guān)相減結(jié)構(gòu)的多級(jí)維納濾波代替協(xié)方差矩陣求逆來(lái)得到抑制雜波的自適應(yīng)濾波權(quán)值,最終本文提出了一種基于俯仰向空域?yàn)V波的協(xié)方差矩陣加權(quán)多級(jí)維納濾波算法,用于抑制共形陣?yán)走_(dá)雜波。為了驗(yàn)證本文算法的正確性、有效性以及通用性,我們?cè)诤撩撞ā⒚撞�、分米波等不同工作波長(zhǎng)以及不同結(jié)構(gòu)的共形陣下對(duì)該算法的雜波抑制性能進(jìn)行了仿真。最后還對(duì)本文算法和現(xiàn)有算法的運(yùn)算量進(jìn)行了對(duì)比分析和仿真。仿真結(jié)果表明,本文方法抑制共形陣?yán)走_(dá)雜波的綜合性能優(yōu)于現(xiàn)有其它方法,且計(jì)算復(fù)雜度低,收斂速度快,便于工程實(shí)現(xiàn),在共形陣?yán)走_(dá)雜波抑制中具有實(shí)際應(yīng)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(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TN957.51

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