电讯技术
電訊技術
전신기술
TELECOMMUNICATIONS ENGINEERING
2014年
1期
17-22
,共6页
认知无线电%频谱感知%数字电视地面广播传输标准%伪随机序列自相关%累积自相关
認知無線電%頻譜感知%數字電視地麵廣播傳輸標準%偽隨機序列自相關%纍積自相關
인지무선전%빈보감지%수자전시지면엄파전수표준%위수궤서렬자상관%루적자상관
cognitive radio%spectrum sensing%digital terrestrial multimedia broadcast (DTMB)%pseudo-noise sequence autocorrelation%accumulated autocorrelation
针对数字电视地面广播传输标准( DTMB )的频谱感知问题,提出了一种新的基于DTMB信号帧中伪随机( PN)序列累积自相关的频谱感知算法。所提算法的创新性在于通过联合多个不同相关间隔的累积自相关结果作为频谱感知的检验统计量,充分利用了有限频谱感知时间内的信号信息。仿真结果表明,当把感知时间设为50 ms时,为了确保频谱感知检测的虚警概率和漏验概率都低于0.01,针对 DTMB 信号的3种帧头模式,所提算法所需的信噪比分别为-20.5 dB、-21 dB和-22 dB,优于已有的频谱感知算法。此外,仿真结果还表明载波频偏和多径衰落对所提算法的性能几乎没有影响。
針對數字電視地麵廣播傳輸標準( DTMB )的頻譜感知問題,提齣瞭一種新的基于DTMB信號幀中偽隨機( PN)序列纍積自相關的頻譜感知算法。所提算法的創新性在于通過聯閤多箇不同相關間隔的纍積自相關結果作為頻譜感知的檢驗統計量,充分利用瞭有限頻譜感知時間內的信號信息。倣真結果錶明,噹把感知時間設為50 ms時,為瞭確保頻譜感知檢測的虛警概率和漏驗概率都低于0.01,針對 DTMB 信號的3種幀頭模式,所提算法所需的信譟比分彆為-20.5 dB、-21 dB和-22 dB,優于已有的頻譜感知算法。此外,倣真結果還錶明載波頻偏和多徑衰落對所提算法的性能幾乎沒有影響。
침대수자전시지면엄파전수표준( DTMB )적빈보감지문제,제출료일충신적기우DTMB신호정중위수궤( PN)서렬루적자상관적빈보감지산법。소제산법적창신성재우통과연합다개불동상관간격적루적자상관결과작위빈보감지적검험통계량,충분이용료유한빈보감지시간내적신호신식。방진결과표명,당파감지시간설위50 ms시,위료학보빈보감지검측적허경개솔화루험개솔도저우0.01,침대 DTMB 신호적3충정두모식,소제산법소수적신조비분별위-20.5 dB、-21 dB화-22 dB,우우이유적빈보감지산법。차외,방진결과환표명재파빈편화다경쇠락대소제산법적성능궤호몰유영향。
Spectrum sensing algorithm based on accumulated pseudo-noise sequence autocorrelation ( PNAC) for Digital Terrestrial Multimedia Broadcast( DTMB) systems is proposed in this paper. To make full use of the information within the limited spectrum sensing time, the decision statistic is obtained by combining accumulated autocorrelations with different interval values together. Simulation results show that when spectrum sensing time is set to 50 ms,to make sure that the false alarm probability and the miss-de-tection probability are both under 0. 01,the required signal-to-noise ratio(SNR) values of proposed algo-rithm are -20. 5 dB,-21 dB and -22 dB,for three frame header modes,respectively. The performance of proposed algorithm is better than that of existing spectrum sensing algorithms. Meanwhile the proposed al-gorithm is robust to both carrier frequency offset and multipath fading.