【摘要】：軟件定義無(wú)線電作為一種通過(guò)軟件實(shí)現(xiàn)不同器件功能的射頻通信技術(shù),旨在實(shí)現(xiàn)無(wú)線傳輸系統(tǒng)由模擬向數(shù)字的轉(zhuǎn)變。軟件無(wú)線電采用可升級(jí)、可重構(gòu)的應(yīng)用軟件實(shí)現(xiàn)無(wú)線電功能,解決了傳統(tǒng)無(wú)線電臺(tái)功能單一、擴(kuò)展性差等問(wèn)題。近年來(lái)由于A/D采樣技術(shù)的發(fā)展,采樣速率和精度不斷提高,帶通采樣被廣泛應(yīng)用于軟件無(wú)線電接收機(jī)中。然而,在采樣過(guò)程中,采樣后信號(hào)鏡像混疊和有用信號(hào)間的混疊問(wèn)題普遍存在,影響了多模式、多頻段信號(hào)在同一平臺(tái)上的正常接收。因此研究實(shí)現(xiàn)同一硬件平臺(tái)對(duì)多頻段、多制式信號(hào)的無(wú)混疊接收問(wèn)題,在無(wú)線通信,尤其是多模式、多頻段的軟件無(wú)線電接收機(jī)中,具有很好的理論與應(yīng)用價(jià)值。本文基于二階帶通采樣和多頻段信號(hào)采樣頻率規(guī)則對(duì)多頻段信號(hào)抗混疊接收進(jìn)行研究:首先,針對(duì)多頻段信號(hào)采樣后混疊問(wèn)題,基于二階帶通采樣原理及軟件無(wú)線電抗混疊接收機(jī)的理論基礎(chǔ),提出了一種分離兩路混疊信號(hào)的相位調(diào)整濾波算法,設(shè)計(jì)了一種抗混疊濾波器。并在仿真過(guò)程中分析了時(shí)間延時(shí)、采樣信號(hào)位置索引差值、群延時(shí)、濾波器tap數(shù)對(duì)抗混疊濾波器性能的影響,為實(shí)現(xiàn)多頻段抗混疊硬件平臺(tái)提供了最優(yōu)化參數(shù)設(shè)計(jì)方案。其次,基于現(xiàn)有的多頻段信號(hào)最小采樣頻率搜索算法,對(duì)多頻段信號(hào)的采樣頻率方法進(jìn)行了研究,對(duì)采樣頻率約束條件進(jìn)行改進(jìn),提出了一種允許采樣后同一位置存在兩路混疊信號(hào)的采樣頻率搜索算法。通過(guò)仿真分析驗(yàn)證了算法的有效性,該算法約束條件較傳統(tǒng)多頻段信號(hào)采樣算法更廣泛,有效降低了計(jì)算復(fù)雜度,更利于硬件實(shí)現(xiàn)和工程應(yīng)用。最后,設(shè)計(jì)了一個(gè)可實(shí)現(xiàn)對(duì)多頻段信號(hào)無(wú)混疊接收的軟件無(wú)線電硬件平臺(tái)。通過(guò)自定義模塊實(shí)現(xiàn)了該平臺(tái)和GNU Radio的連接。該平臺(tái)驗(yàn)證了本文所提采樣頻率方法與相位調(diào)整算法的正確性,最終實(shí)現(xiàn)多路混疊信號(hào)的分離與接收。該基于GNU Radio的帶通采樣無(wú)線電處理平臺(tái)無(wú)需修改硬件就可以實(shí)現(xiàn)多種信號(hào)接收并消除混疊。為基于軟件無(wú)線電的無(wú)線通信系統(tǒng)的開發(fā)工作和多帶通采樣等相關(guān)實(shí)驗(yàn)提供了更加便捷的硬件平臺(tái)。
[Abstract]:Software defined radio (SDR) is a kind of radio frequency communication technology which realizes the function of different devices by software. It aims to change the wireless transmission system from analog to digital. Software radio uses scalable and reconfigurable application software to realize radio function, which solves the problems of single function and poor expansibility of traditional radio station. In recent years, due to the development of A- / D sampling technology, the sampling rate and precision have been improved, and band-pass sampling has been widely used in software radio receivers. However, in the process of sampling, the problem of aliasing between image images and useful signals after sampling is common, which affects the normal reception of multi-mode and multi-frequency signals on the same platform. Therefore, it is of great theoretical and practical value to study and implement the same hardware platform for multi-band and multi-standard signal receiving without aliasing in wireless communication, especially in multi-mode and multi-frequency software radio receiver. In this paper, the anti-aliasing reception of multi-band signals is studied based on second-order bandpass sampling and multi-band signal sampling frequency rules. Based on the second-order bandpass sampling principle and the theoretical basis of software radio anti-aliasing receiver, a phase-adjusted filtering algorithm for separating two-channel aliasing signals is proposed, and an anti-aliasing filter is designed. The effects of time delay, sampling signal location index difference, group delay and filter tap number on the performance of the aliasing filter are analyzed in the simulation process, which provides an optimal parameter design scheme for the anti-aliasing hardware platform in multi-frequency band. Secondly, based on the existing minimum sampling frequency search algorithm of multi-band signal, the sampling frequency method of multi-band signal is studied, and the sampling frequency constraint condition is improved. This paper presents a sampling frequency search algorithm that allows two aliasing signals to exist at the same location after sampling. The simulation results show that the algorithm is more effective than the traditional multi-band signal sampling algorithm, which reduces the computational complexity and is more convenient for hardware implementation and engineering application. At last, a hardware platform of software radio is designed, which can receive multi-band signals without aliasing. The connection between the platform and GNU Radio is realized by custom module. The platform verifies the correctness of the proposed sampling frequency method and phase adjustment algorithm, and finally realizes the separation and reception of multichannel aliasing signals. The bandpass sampling radio processing platform based on GNU Radio can realize multiple signal reception and eliminate aliasing without modifying hardware. It provides a more convenient hardware platform for the development of wireless communication system based on software radio and related experiments such as multi-bandpass sampling.
【學(xué)位授予單位】：中國(guó)礦業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN92

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