【正文】 ??? )1(?? For the cognitive radio users with the energy detector, the average probabilities of detection, the average probabilities of missed detection, and the average probabilities of false alarm over AWGN channels are given, respectively, by [7]: ),2()|( 1 ???? md QHPP ??? (3) dm pHpP ???? 1)|( 1?? (4) )( )2/,()|( 0 mmHpP f ????? ??? (5) Where )(a? , ),( ba? are plete and inplete gamma function respectively, and ),( baQm is the generalized Marcum function. In this paper, we consider cooperative spectrum sensing with 1bit quantization. Let avgK represent the normalized Fig1. (a)Conventional detection method (b)Double threshold energy detection method average number of sensing bit. Let KT and 39。 可以看出同常規(guī)能量檢測算法相比較，本文所提出算法 的檢測性能得到了明顯的改善。而雙門限能量檢測算法本地判決如圖 3(b)黃石理工學(xué)院 畢業(yè)設(shè)計（論文）外文文獻(xiàn)翻譯 所示，本地 能量檢測器判決規(guī)則如下： （ 3） 其中 ND 表示認(rèn)知用戶接受到的能量值不可靠，認(rèn)知用戶不作出任何判決，發(fā)送感知報告給認(rèn)知無線電網(wǎng)絡(luò)基站。認(rèn)知用戶在接入授權(quán)頻帶之前，必須首先感知該頻帶空閑即授權(quán)用戶沒有工作，否則會對授權(quán)用戶造成干擾。 關(guān)鍵詞 ： 認(rèn)知無線電；頻譜感知；信任度；雙門限 1 引言 隨著無線通信技術(shù)的飛速發(fā)展，有限的頻譜資源與不斷 增長的無線通信需求的矛盾越來越突出。 2 系統(tǒng)模型 假設(shè)一個認(rèn)知無線電網(wǎng)絡(luò)有 N個認(rèn)知用戶和 一個認(rèn)知無線網(wǎng)絡(luò)基站，如圖 1 所示。00 }|{}|{}|{}|{ (8) 定義： )|( 02110 HP ??? ???? ， )|( 02110 HP ??? ???? 則： 11001 ????? PPK a v g (9) 由 9 式 可得： 1?avgK 可知：基于雙門限的協(xié)同頻譜檢測算法的網(wǎng)絡(luò)開銷始終小于常規(guī)的能量檢測算法。當(dāng)所有的用戶都不可靠時，選取信任度最高的認(rèn)知用戶發(fā)射感知報告進(jìn)行判決。 參考文獻(xiàn) [1] Federal Communications Commission. Spectrum Policy Task Force, Rep. ET Docket no. 02135 [R]. Nov. 2020. [2] J. Mitola and G. Q. Maguire. Cognitive radio: Making software radios more personal[C],IEEE Personal Communication. vol. 6, pp. 13–18, Aug. 1999. [3] S. Haykin. Cognitive radio: brainempowered wireless munications [J]. IEEE J. Sel. Areas Communication. vol. 23, pp. 201–220, Feb. 2020. [4] AKYLDIZ IF. Next generation/dynamic spectrum access/cognitive radio wireless works: A Survey [J]. ELSEVIER Computer Networks, 2020(50):21272159. [5] D. Cabric, S. M. Mishra, and R. W. Brodersen. Implementation issues in spectrum sensing for cognitive radios[C]// in Proc. Of A silomar Conf. on Signals, Systems, and Computers, Pacific Grove,CA, USA, Nov. 710, 2020, pp. 772 776. [6] and E. S. Sousa. Collaborative spectrum sensing for opportunistic access in fading environments[C]// in Proc. 1st IEEES ymp. New Frontiers in Dynamic Spectrum Access Networks, Baltimore, USA, Nov. 8–11, 2020, pp. 131–136. [7] Chunhua Sun, Wei Zhang, Letaief . Cooperative spectrum sensing for cognitive radios under bandwidth constraints[C]// in Proc. IEEE WCNC, March 1115, 2020, pp. 15. [8] H. Urkowitz. Energy detection of unknown deterministic signals [C]. Proceedings of IEEE, , pp. 523531, April 1967. [9] Ruiliang Chen, JungMin Park, Kaigui Bian. Robust Distributed Spectrum Sensing in Cognitive 黃石理工學(xué)院 畢業(yè)設(shè)計（論文）外文文獻(xiàn)翻譯 Radio Networks[C]. in Proc. IEEEINFOCOM, April 2020, pp. 18761884. [10] F. F. Digham, M. S. Alouini, and M. K. Simon. On the energy detection of unknown signals over fading channels[C]. in Proc. IEEE ICC, Anchorage, AK, USA, May 1115, 2020, pp. 3575–3579. 黃石理工學(xué)院 畢業(yè)設(shè)計（論文）外文文獻(xiàn)翻譯 附原文： A New Cooperative Spectrum Sensing Algorithm for Cognitive Radio Networks Abstract—spectrum sensing is a critical phase in building a cognitive radio work. However, the bandwidth for reporting secondary users’ sensing results will be insufficient, when the number of secondary user is very large. In this paper, we propose a new cooperative spectrum sensing algorithm to alleviate the bandwidth problem of reporting channel. Compared with conventional method, only the secondary users with reliable information are allowed to report their sensing results. When no user with reliable information, only the secondary user with highest reputation will report its sensing result. Simulation results show that our algorithm achieves better sensing performance and the average number of sensing bits decrease greatly. Keywords— cognitive radio。假設(shè) 0? ， 1? 分別代表在授權(quán)用戶在工作和授權(quán)用戶未工作情況下沒有認(rèn)知用戶發(fā)送感知報告，即當(dāng) K=0 時，則： NNFFHKP 01200 ))()((}|0{ ??????? ??? (12) NNGGHKP 11211 ))()((}|0{ ??????? ??? (13) 基于雙門限的頻譜感知算法在瑞利信道下的虛警概率 fQ ，漏檢概率 mQ