【摘要】：跳頻通信系統(tǒng)是擴(kuò)頻通信系統(tǒng)的一種實(shí)現(xiàn)方式,難以被識(shí)別干擾,是一種常用的軍事通信技術(shù)。隨著跳頻通信系統(tǒng)的性能指標(biāo)越來(lái)越高,針對(duì)跳頻通信進(jìn)行電子偵察的難度也越來(lái)越大,因此迫切需要研究新的跳頻信號(hào)盲偵察算法。本文以時(shí)頻分析為基礎(chǔ),研究了針對(duì)同步正交組網(wǎng)方式的跳頻信號(hào)盲偵察算法。本文簡(jiǎn)要介紹了跳頻通信和時(shí)頻分析的原理,研究了跳頻信號(hào)的非平穩(wěn)特性。針對(duì)跳頻信號(hào)的時(shí)頻特征,基于聚類的方法,提出了一種跳頻信號(hào)的盲檢測(cè)算法。仿真結(jié)果表明,本算法能夠有效地從混有干擾信號(hào)的接收信號(hào)中提取跳頻信號(hào)。針對(duì)跳頻信號(hào)的盲源分離問(wèn)題,本文重點(diǎn)研究線性延遲混合模型。在欠定條件下,本文采用稀疏分量分析算法,首先估計(jì)與跳頻信號(hào)混合過(guò)程相關(guān)的時(shí)頻矩陣,然后根據(jù)時(shí)頻矩陣分離跳頻信號(hào)。本文通過(guò)檢測(cè)單源點(diǎn),以時(shí)頻比算法為基礎(chǔ)估計(jì)時(shí)頻矩陣;然后估計(jì)源信號(hào)的入射方向,對(duì)時(shí)頻矩陣進(jìn)行重排;在源信號(hào)分離中,采用改進(jìn)的子空間投影分離算法,通過(guò)改善算法流程,放寬了稀疏假設(shè)條件,增大了算法的適用范圍。本文主要對(duì)跳頻信號(hào)的跳頻載波頻率以及跳頻速率進(jìn)行估計(jì),并設(shè)計(jì)了兩種不同的參數(shù)盲估計(jì)算法。同時(shí)結(jié)合理論推導(dǎo)和性能仿真,本文分析了兩種算法的性能特點(diǎn)與適用范圍。本文在FPGA開發(fā)平臺(tái)上,對(duì)跳頻信號(hào)的盲偵察算法進(jìn)行了硬件實(shí)現(xiàn)。在FPAG內(nèi)部搭建了嵌入式軟核,采用C語(yǔ)言開發(fā),加速了開發(fā)進(jìn)度。測(cè)試結(jié)果表明,該系統(tǒng)能夠?qū)崿F(xiàn)基本的參數(shù)估計(jì)功能并滿足預(yù)設(shè)的性能指標(biāo)。
[Abstract]:Frequency-hopping communication system is a kind of realization method of spread spectrum communication system, which is difficult to identify interference and is a commonly used military communication technology. With the performance of FH communication system becoming higher and higher, it is more and more difficult to conduct electronic reconnaissance for FH communication. Therefore, it is urgent to study a new blind FH signal reconnaissance algorithm. Based on time-frequency analysis, a blind reconnaissance algorithm of frequency hopping signal for synchronous orthogonal network is studied in this paper. This paper briefly introduces the principle of frequency hopping communication and time frequency analysis, and studies the non-stationary characteristic of frequency hopping signal. According to the time-frequency characteristics of frequency-hopping signals, a blind detection algorithm for frequency-hopping signals is proposed based on clustering method. The simulation results show that the proposed algorithm can extract frequency hopping signals from the received signals mixed with interference signals. In order to solve the problem of blind source separation for frequency hopping signals, this paper focuses on the linear delay mixing model. Under underdetermined conditions, a sparse component analysis algorithm is used to estimate the time-frequency matrix associated with the mixing process of frequency-hopping signals, and then to separate the frequency-hopping signals according to the time-frequency matrix. In this paper, the time-frequency matrix is estimated based on the time-frequency ratio algorithm by detecting the single source point, then the direction of incident signal is estimated, and the time-frequency matrix is rearranged. In source signal separation, an improved subspace projection separation algorithm is adopted. By improving the algorithm flow, the sparse assumption condition is relaxed and the applicable range of the algorithm is enlarged. In this paper, the frequency hopping carrier frequency and the frequency hopping rate of the frequency hopping signal are estimated, and two different blind estimation algorithms are designed. At the same time, combined with theoretical derivation and performance simulation, this paper analyzes the performance characteristics and applicable range of the two algorithms. In this paper, the blind reconnaissance algorithm of frequency hopping signal is implemented on FPGA platform. The embedded soft core is built in FPAG, and C language is used to develop it, which speeds up the development progress. The test results show that the system can realize the basic function of parameter estimation and meet the preset performance index.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN914.41

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本文編號(hào)：2429887