基于载波序号调制的水禽监控网络接收机研究
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摘要
多输入多输出(Multiple-input multiple-output, MIMO)技术可以有效提高水禽监控网络节点间的数据传输速率和误比特性能.载波序号调制技术(Orthogonal frequency division multiplexing with index modulation, OFDM-IM)是一种可以有效对抗由多径传输引起的频率选择性衰落并获得更优的频谱效率和误比特性能多载波传输新技术.通过将MIMO和载波序号调制技术相结合可以提高水禽监控网络节点间的数据传输速率和可靠性,提出一种基于树形搜索的序贯蒙特卡罗(Sequential Monte Carlo, SMC)低复杂度接收机,通过对每个子载波抽取采样点,可以大幅降低接收机的计算法复杂度.仿真结果表明提出的SMC接收机可以在线性计算复杂度下获得接近最优的最大似然(Maximum Likelihood, ML)概率的接收机的误比特性能.
Multiple-input multiple-output(MIMO) could improve the data rate and bit error rate(BER) between the nodes of waterfowl monitoring network effectively. Orthogonal frequency division multiplexing with index modulation(OFDM-IM) was a recently proposed multicarrier transmission technology in wireless communication, which could combat the interference of the frequency selective fading caused by multipath propagation effectively and achieve better spectral efficiency and BER. By combining MIMO and OFDM-IM technologies, MIMO-OFDM-IM could improve the data rate and BER performance between the nodes of the waterfowl monitoring network effectively. An improved tree search based low-complexity Sequential Monte Carlo(SMC) detector was proposed for MIMO-OFDM-IM, which drew samples in subcarrier-wise for each subcarrier and could reduce the computational complexity considerably. The simulation results showed that the proposed SMC detector achieved near-optimal BER performance with linearly computational complexity.
Multiple-input multiple-output(MIMO) could improve the data rate and bit error rate(BER) between the nodes of waterfowl monitoring network effectively. Orthogonal frequency division multiplexing with index modulation(OFDM-IM) was a recently proposed multicarrier transmission technology in wireless communication, which could combat the interference of the frequency selective fading caused by multipath propagation effectively and achieve better spectral efficiency and BER. By combining MIMO and OFDM-IM technologies, MIMO-OFDM-IM could improve the data rate and BER performance between the nodes of the waterfowl monitoring network effectively. An improved tree search based low-complexity Sequential Monte Carlo(SMC) detector was proposed for MIMO-OFDM-IM, which drew samples in subcarrier-wise for each subcarrier and could reduce the computational complexity considerably. The simulation results showed that the proposed SMC detector achieved near-optimal BER performance with linearly computational complexity.
引文
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[18] 丁睿,高西奇,尤肖虎.MIMO系统的改进序贯蒙特卡罗迭代检测算法[J].电子与信息学报,2010,32(2):307-312.
[2] 谈永新.养殖场场址及对环境质量的要求[J].水禽世界,2015(3):18-19.
[3] 周志遥.基于GPRS技术的农业节水灌溉远程监控系统研究[J].农业与技术,2018,38(17):48-49.
[4] 王晓冰,廉小亲,郝宝智,等.基于物联网的智能种植监测系统[J].测控技术,2017,36(8):106-110.
[5] 应胜斌,雷必成,周坤,等.基于物联网的禽畜智能养殖监控系统的设计[J].电子测量技术,2014,37(11):86-89.
[6] ZANELLA A,BUI N,CASTELLANI A,et al.Internet of things for smart cities[J].IEEE Internet of Things Journal,2014,1(1):22-32.
[7] PAULRAJ A J,GORE D A,NABAR R U,et al.An overview of MIMO communications-a key to gigabit wireless[J].Proceedings of the IEEE,2004,92(2):198-218.
[8] 周冬跃,胡斌杰.量化反馈的MIMO-OFDM预处理方法[J].华南理工大学学报:自然科学版,2010,38(10):30-35.
[9] BASAR E.Orthogonal frequency division multiplexing with index modulation[J].IEEE Transactions on Signal Processing,2013,61(22):5536-5549.
[10] WEN M,CHENG X,YANG L.Optimizing the energy efficiency of OFDM with index modulation[C]//IEEE International Conference on Communication Systems (ICCS).Macau:IEEE,2014:31-35.
[11] BASAR E.OFDM with index modulation using coordinate interleaving[J].IEEE Wireless Communications Letters,2015,4(4):381-384.
[12] WEN M,ZHANG Y,LI J,et al.Equiprobable subcarrier activation method for OFDM with index modulation[J].IEEE Communications Letters,2016,20(12):2386-2389.
[13] BASAR E.Multiple-input multiple-output OFDM with index modulation[J].IEEE Signal Processing Letters,2015,22(12):2259-2263.
[14] BASAR E.On multiple-input multiple-output OFDM with index modulation for next generation wireless networks[J].IEEE Transactions on Signal Processing,2016,64(15):3868-3878.
[15] BASAR E.Index modulation techniques for 5G wireless networks[J].IEEE Communications Magazine,2016,54(7):168-175.
[16] ZHENG B,WEN M,BASAR E,et al.Multiple-input multiple-output OFDM with index modulation:Low-complexity detector design[J].IEEE Transactions on Signal Processing,2017,65(11):2758-2772
[17] DONG B,WANG X,DOUCET A.A new class of soft MIMO demodulation algorithms[J].IEEE Transactions on Signal Processing,2003,51(11):2752-2763.
[18] 丁睿,高西奇,尤肖虎.MIMO系统的改进序贯蒙特卡罗迭代检测算法[J].电子与信息学报,2010,32(2):307-312.