基于FPGA軟件無線電平臺的頻譜感知系統(tǒng)研究與實現(xiàn)
發(fā)布時間:2019-04-24 18:06
【摘要】:認知無線電技術(shù)是解決當(dāng)前頻譜資源緊張和利用率低下的有效方法,頻譜感知作為認知無線電的核心技術(shù),能夠感知周圍環(huán)境的頻譜使用狀況,為次級用戶的通信需求尋找頻譜空洞。本文研究和實現(xiàn)了基于FPGA SOC架構(gòu)的頻譜感知軟件無線電平臺,提出了一種應(yīng)用于600MHz~3.0GHz寬帶場景的全盲頻譜感知能量檢測算法,對算法進行理論分析與仿真驗證,并應(yīng)用于本文研究實現(xiàn)的頻譜感知系統(tǒng)中,獲得了很好的效果。 本文的主要工作和創(chuàng)新點如下: 1.提出一種基于迭代運算的寬帶頻譜感知能量檢測算法,算法在先驗信息全盲的前提下以較優(yōu)的性能實現(xiàn)對整個2.4GHz帶寬信號的能量檢測與判決,仿真顯示當(dāng)信噪比大于-1時,錯判率穩(wěn)定于10-3以下。算法的性能在本文研究實現(xiàn)的系統(tǒng)中得以驗證。 2.設(shè)計和實現(xiàn)基于FPGA SOC架構(gòu)的頻譜感知軟件無線電平臺,包括基于AD-FMCOMMS1射頻板的射頻驅(qū)動與控制子系統(tǒng)、RTL級基帶信號處理子系統(tǒng)、基于Microblaze的SOC控制系統(tǒng)、基于Linux C++的控制及數(shù)據(jù)通信子系統(tǒng)和基于MATALB的寬帶能量檢測與展示子系統(tǒng)。 3.系統(tǒng)采用多次掃頻、頻譜拼接的方法完成600MHz~3.0GHz范圍內(nèi)頻譜信號的感知,整體性能取得重大突破。射頻前端ADC采樣率達到163.84Msps,基帶信號處理單元穩(wěn)定運行于200MHz時鐘,單次頻譜感知帶寬達到60MHz,具有10kHz超細膩的頻譜分辨率,且每個頻帶的能量均為128次連續(xù)感知的均值。經(jīng)實際驗證,系統(tǒng)可完成每秒10次以上2.4GHz頻帶信號的頻譜感知,并將感知與能量檢測結(jié)果實時顯示于前端。
[Abstract]:Cognitive radio technology is an effective way to solve the current shortage of spectrum resources and low utilization of spectrum. As the core technology of cognitive radio, spectrum sensing can sense the spectrum use of the surrounding environment. Find spectrum holes for the communication needs of secondary users. In this paper, a spectrum sensing software radio platform based on FPGA SOC architecture is studied and implemented. An all-blind spectrum sensing energy detection algorithm for 600MHz~3.0GHz broadband scene is proposed, and the algorithm is theoretically analyzed and verified by simulation. It has been applied to the spectrum sensing system studied and implemented in this paper, and good results have been obtained. The main work and innovations of this paper are as follows: 1. A broadband spectrum sensing energy detection algorithm based on iterative operation is proposed. The algorithm realizes the energy detection and decision of the whole 2.4GHz bandwidth signal with better performance under the premise of the prior information being completely blind. The simulation results show that when the SNR is greater than-1, the error rate is less than 10 ~ 3. The performance of the algorithm is verified in the system studied and implemented in this paper. 2. A spectrum sensing software radio platform based on FPGA SOC architecture is designed and implemented, including radio frequency drive and control subsystem based on AD-FMCOMMS1 radio board, RTL baseband signal processing subsystem, and SOC control system based on Microblaze. Control and data communication subsystem based on Linux C and broadband energy detection and display subsystem based on MATALB. 3. The system adopts the method of multiple frequency sweep and spectrum splicing to realize the sensing of the spectrum signal in the range of 600MHz~3.0GHz. The overall performance of the system has made a significant breakthrough. The RF front-end ADC sampling rate is up to 163.84Msps, the baseband signal processing unit operates stably in the 200MHz clock, the single spectrum sensing bandwidth reaches 60MHz, has the ultra-fine spectral resolution of 10kHz, and the energy of each band is the average of 128 consecutive sensing times. It is verified that the system can realize the spectrum sensing of 2.4GHz frequency band signals more than 10 times per second, and the sensing and energy detection results can be displayed on the front end in real time.
【學(xué)位授予單位】:北京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TN791;TN925
本文編號:2464665
[Abstract]:Cognitive radio technology is an effective way to solve the current shortage of spectrum resources and low utilization of spectrum. As the core technology of cognitive radio, spectrum sensing can sense the spectrum use of the surrounding environment. Find spectrum holes for the communication needs of secondary users. In this paper, a spectrum sensing software radio platform based on FPGA SOC architecture is studied and implemented. An all-blind spectrum sensing energy detection algorithm for 600MHz~3.0GHz broadband scene is proposed, and the algorithm is theoretically analyzed and verified by simulation. It has been applied to the spectrum sensing system studied and implemented in this paper, and good results have been obtained. The main work and innovations of this paper are as follows: 1. A broadband spectrum sensing energy detection algorithm based on iterative operation is proposed. The algorithm realizes the energy detection and decision of the whole 2.4GHz bandwidth signal with better performance under the premise of the prior information being completely blind. The simulation results show that when the SNR is greater than-1, the error rate is less than 10 ~ 3. The performance of the algorithm is verified in the system studied and implemented in this paper. 2. A spectrum sensing software radio platform based on FPGA SOC architecture is designed and implemented, including radio frequency drive and control subsystem based on AD-FMCOMMS1 radio board, RTL baseband signal processing subsystem, and SOC control system based on Microblaze. Control and data communication subsystem based on Linux C and broadband energy detection and display subsystem based on MATALB. 3. The system adopts the method of multiple frequency sweep and spectrum splicing to realize the sensing of the spectrum signal in the range of 600MHz~3.0GHz. The overall performance of the system has made a significant breakthrough. The RF front-end ADC sampling rate is up to 163.84Msps, the baseband signal processing unit operates stably in the 200MHz clock, the single spectrum sensing bandwidth reaches 60MHz, has the ultra-fine spectral resolution of 10kHz, and the energy of each band is the average of 128 consecutive sensing times. It is verified that the system can realize the spectrum sensing of 2.4GHz frequency band signals more than 10 times per second, and the sensing and energy detection results can be displayed on the front end in real time.
【學(xué)位授予單位】:北京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TN791;TN925
【參考文獻】
相關(guān)期刊論文 前4條
1 劉義賢;季飛;余華;;認知無線電網(wǎng)絡(luò)中基于噪聲功率估計的能量檢測性能[J];電子與信息學(xué)報;2011年06期
2 劉子揚;彭濤;郭海波;王文博;;干擾系統(tǒng)先驗信息未知的寬帶能量檢測[J];北京郵電大學(xué)學(xué)報;2012年05期
3 勞子軒;劉子揚;彭濤;王文博;;全盲頻譜感知:噪聲估計與能量檢測聯(lián)合迭代算法[J];電子與信息學(xué)報;2013年08期
4 潘建國;翟旭平;;基于能量檢測的頻譜感知方法[J];上海大學(xué)學(xué)報(自然科學(xué)版);2009年01期
,本文編號:2464665
本文鏈接:http://sikaile.net/kejilunwen/dianzigongchenglunwen/2464665.html
最近更新
教材專著