本文選題：短波測向 + 快速算法　； 參考：《電子科技大學(xué)》2016年博士論文

【摘要】：隨著通信技術(shù)的發(fā)展,短波通信中大量采用網(wǎng)絡(luò)化通信系統(tǒng)、低截獲概率通信體制、自適應(yīng)功率控制技術(shù)以及自適應(yīng)選頻技術(shù)等,致使第三方對信號的測向與定位日益困難。提高測向處理的時(shí)效性、使用寬帶信道化測向處理技術(shù)、構(gòu)建寬帶自動(dòng)交會定位網(wǎng),是現(xiàn)階段提升對短波通信信號測向定位能力的有效方法。本論文研究了短波窄帶測向方法、短波寬帶信道化測向方法、短波機(jī)動(dòng)測向處理方法;同時(shí)分析寬帶組網(wǎng)定位的處理流程,并給出了改進(jìn)策略和相應(yīng)的數(shù)據(jù)處理方法。最后利用實(shí)際的測向定位系統(tǒng)對研究成果進(jìn)行了驗(yàn)證。主要工作和貢獻(xiàn)如下:1.針對圓陣上二維空間譜的快速計(jì)算問題,研究了適用于任意圓陣的快速空間譜計(jì)算方法。根據(jù)均勻圓陣各方向向量的圓周循環(huán)特性,指出空間譜的計(jì)算可由快速卷積完成。借助虛擬陣列變換的思想,將任意圓陣變換成一個(gè)陣元數(shù)與空間譜點(diǎn)數(shù)相等的虛擬均勻圓陣,利用虛擬均勻圓陣的方向向量來完成空間譜的快速計(jì)算。2.為解決任意陣列二維空間譜的快速計(jì)算問題,將陣列的方向向量進(jìn)行分解,并分別用不同的虛擬均勻圓陣的方向向量與分解后的各方向向量相對應(yīng)。這一處理過程等效于將原陣列轉(zhuǎn)化成由多個(gè)虛擬均勻圓形子陣構(gòu)成的陣列。根據(jù)每個(gè)子陣能激發(fā)的有效相位模式數(shù)遠(yuǎn)小于空間譜點(diǎn)數(shù)的事實(shí),提出了一種利用模式空間中的有效相位模式計(jì)算空間譜的快速算法。3.針對短波寬帶信道化測向處理中面臨的巨大計(jì)算量問題,研究了相關(guān)干涉儀的快速實(shí)現(xiàn)方法。提出了一種基于引導(dǎo)基線的快速相關(guān)干涉儀測向算法。將測向基線分為引導(dǎo)基線與解模糊基線,引導(dǎo)基線決定測向精度與角度搜索范圍,解模糊基線去除模糊方位,從而兼顧了測向精度、測向時(shí)效性與解模糊可靠性。推導(dǎo)了該算法在任意形式引導(dǎo)基線情況下的誤差方差表達(dá)式,并與測向誤差的克拉美-羅界進(jìn)行了對比。以均勻圓陣為模型,給出了提高測向精度的措施和解模糊基線的選擇方法。4.對比幅法中的沃森-瓦特測向方法及基于角度計(jì)的烏蘭韋伯聽覺測向方法進(jìn)行了研究。針對沃森-瓦特測向處理中出現(xiàn)的方位模糊與誤差校正問題,分析了誤差模型,給出了因幅相誤差導(dǎo)致的測向誤差表達(dá)式,并提出了一種實(shí)用的誤差校正方法。針對角度計(jì)測向在數(shù)字化實(shí)現(xiàn)過程中出現(xiàn)的幅度不連續(xù)等問題,提出了對空間采樣序列進(jìn)行內(nèi)插的處理方法,從而獲得了較好的聽覺效果。5.針對短波寬帶自動(dòng)交會定位中面臨的信號分選、參數(shù)估計(jì)、數(shù)據(jù)傳輸、多站信號匹配等問題,對交會處理流程進(jìn)行了優(yōu)化。給出了信號檢測門限的設(shè)置方法,制定了信號分選策略,在保留信號信息的同時(shí)減小了傳輸數(shù)據(jù)量,并提出了能有效減小定位虛假點(diǎn)的多站信號匹配方法。
[Abstract]:With the development of communication technology, network communication system, low interception probability communication system, adaptive power control technology and adaptive frequency selection technology are widely used in shortwave communication. Improving the timeliness of direction-finding processing, using wideband channelized direction-finding processing technology, constructing broadband automatic rendezvous location network is an effective method to improve the direction-finding ability of shortwave communication signals at present. In this paper, the short-wave narrow-band direction-finding method, shortwave wideband channelized direction finding method and short-wave maneuvering direction-finding method are studied. At the same time, the processing flow of broadband networking location is analyzed, and the improved strategy and corresponding data processing method are given. Finally, the research results are verified by using the actual direction finding and positioning system. The main work and contributions are as follows: 1. To solve the problem of fast calculation of two-dimensional spatial spectrum on circular array, a fast spatial spectrum calculation method suitable for arbitrary circular array is studied. According to the circular cycle characteristic of every direction vector of uniform circular array, it is pointed out that the calculation of spatial spectrum can be accomplished by fast convolution. Based on the idea of virtual array transformation, the arbitrary circular array is transformed into a virtual uniform circular array with equal number of elements and spatial spectral points, and the direction vector of virtual uniform circular array is used to complete the fast calculation of spatial spectrum. In order to solve the problem of fast calculation of two-dimensional spatial spectrum of arbitrary arrays, the directional vectors of arrays are decomposed, and the direction vectors of different virtual uniform circular arrays are corresponding to each direction vector after decomposition. This process is equivalent to transforming the original array into an array composed of multiple virtual uniform circular subarrays. According to the fact that the number of effective phase modes excited by each subarray is far less than the number of spatial spectral points, a fast algorithm. 3 is proposed to calculate the spatial spectrum by using the effective phase modes in the mode space. In order to solve the problem of huge computation in short-wave wideband channelized direction-finding processing, the fast implementation method of correlation interferometer is studied. A fast correlation interferometer direction finding algorithm based on guided baseline is proposed. The direction finding baseline is divided into guiding baseline and unfuzzy baseline, which determines the precision and angle search range of direction finding, and removes fuzzy azimuth from the solution of fuzzy baseline, thus taking into account the precision of direction finding, the timeliness of direction finding and the reliability of de-fuzziness. The expression of the error variance of the algorithm in any form of guided baseline is derived and compared with the Cramey-Row bound of the direction finding error. Taking the uniform circular array as the model, the method of improving the precision of direction finding and selecting the fuzzy baseline is given. In this paper, Watson-Watt direction finding method and Wu Lan Webb auditory direction finding method based on angle meter are studied. Aiming at the problem of azimuth ambiguity and error correction in Watson Watt direction finding, the error model is analyzed, the expression of direction finding error caused by amplitude and phase error is given, and a practical error correction method is put forward. In order to solve the problem of amplitude discontinuity in the digital realization of angle measurement direction, the interpolation method of spatial sampling sequence is proposed, and the better hearing effect is obtained. Aiming at the problems of signal sorting, parameter estimation, data transmission and multi-station signal matching in HF broadband automatic rendezvous location, the rendezvous process is optimized. A signal detection threshold setting method is presented and a signal sorting strategy is formulated to reduce the amount of data transmitted while retaining the signal information. A multi-station signal matching method which can effectively reduce the location of false points is proposed.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：TN925

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本文編號：1808748