本文關(guān)鍵詞：基于自適應(yīng)濾波的北斗導(dǎo)航抗干擾技術(shù)研究　出處：《南京理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 北斗導(dǎo)航系統(tǒng) 抗干擾算法 空域自適應(yīng)濾波 多維域抗干擾 FPGA

【摘要】：衛(wèi)星導(dǎo)航在生產(chǎn)和生活中不可或缺,然而隨著電磁環(huán)境日益復(fù)雜,導(dǎo)航信號的脆弱性使其在通信中極易受到干擾而產(chǎn)生錯誤定位甚至失去導(dǎo)航定位功能,所以導(dǎo)航抗干擾技術(shù)顯得尤為重要。本文基于自適應(yīng)濾波技術(shù)對北斗導(dǎo)航系統(tǒng)的抗干擾算法進行了研究,主要工作包括:1、采用帶中心單元的7元圓環(huán)陣做接收陣列,研究了基于LCMV準(zhǔn)則的空域濾波算法,結(jié)合功率倒置算法和最小方差無失真響應(yīng)算法,分析了空域濾波的抗干擾性能。2、對空時自適應(yīng)抗干擾(STAP)算法進行了建模仿真,分析了干擾個數(shù)和延時單元個數(shù)對算法性能的影響,并與空域算法進行了性能對比,由于具有更多的抗干擾自由度,空時算法濾波性能更優(yōu),但伴隨計算量大的問題。3、研究了空頻自適應(yīng)(SFAP)濾波算法,作為空時改進的頻域?qū)崿F(xiàn)結(jié)構(gòu),分析了干擾環(huán)境和頻域子帶個數(shù)對抗干擾性能的影響,驗證了空頻算法具有更小的計算量、更好的帶內(nèi)一致性,推導(dǎo)出空時與空頻算法基于LCMV陣列的等價條件。4、研究了空時頻三維聯(lián)合抗干擾算法,進一步提升了自適應(yīng)權(quán)值自由度,提升了抗干擾裕度,仿真結(jié)果表明該算法在多寬帶環(huán)境下具有優(yōu)越性能。5、最后在FPGA上對空頻算法進行實現(xiàn),結(jié)合MATLAB仿真結(jié)果完成硬件調(diào)試,并給出了實測結(jié)果和性能分析。
[Abstract]:Satellite navigation is indispensable in production and daily life. However, with the increasing complexity of electromagnetic environment, the vulnerability of navigation signal makes it vulnerable to interference in communications, resulting in mispositioning or even loss of navigation and positioning function. Therefore, navigation anti-jamming technology is particularly important. Based on adaptive filtering technology, this paper studies the anti-jamming algorithm of Beidou navigation system, the main work includes: 1. The spatial filtering algorithm based on LCMV criterion, combined with power inversion algorithm and minimum variance distortion free response algorithm, is studied by using a 7-element ring array with center elements as receiving array. The anti-jamming performance of spatial filtering is analyzed. The space-time adaptive anti-jamming algorithm is modeled and simulated. The influence of the number of interference and delay unit on the performance of the algorithm is analyzed. Compared with the spatial algorithm, because of more anti-interference degrees of freedom, the space-time algorithm has better filtering performance, but accompanied by a large amount of computation problem .3. The space-frequency adaptive SFAP-based filtering algorithm is studied as an improved space-time implementation structure in frequency domain. The influence of interference environment and the number of sub-bands in frequency domain on the anti-jamming performance is analyzed. It is proved that the space-frequency algorithm has less computation and better intra-band consistency. The equivalent condition of space-time and space-frequency algorithm based on LCMV array is derived, and the space-time-frequency 3D joint anti-jamming algorithm is studied. The adaptive weight degree of freedom is further improved, and the anti-interference margin is improved. The simulation results show that the algorithm has superior performance in multi-wideband environment. Finally, the space-frequency algorithm is implemented on FPGA. Combined with the simulation results of MATLAB, the hardware debugging is completed, and the measured results and performance analysis are given.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN967.1

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