多頻段信號(hào)抗混疊接收算法研究與硬件實(shí)現(xiàn)
[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(lèi)號(hào)】:TN92
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