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作 者:李海琼 LI Hai-qiong(The 27th Research Institute of China Electronics Technology Group Corporation,Zhengzhou 450047,China)
机构地区:[1]中国电子科技集团公司第二十七研究所,郑州450047
出 处:《电光系统》2023年第2期38-44,共7页Electronic and Electro-optical Systems
摘 要:目前智慧城市建设中在有限的频谱资源上无法实现高效可靠的数据传输。文章依据IEEE 802.15.4c标准中MPSK接收器对成本和复杂度的设计要求,提出基于频偏估计的MPSK信号多符号非相干检测新算法。在全面考虑载波频率偏移(Carrier Frequency Offset,CFO)、载波相位偏移(Carrier Phase Offset,CPO)、乘性衰落和加性噪声的基础上,利用前导符和伪随机噪声(Pseudo-random Noise,PN)序列构造新度量函数估计以补偿频偏,并借助频偏补偿后的接收信号和PN序列推导完全形式的检测算法。低复杂度多符号检测(Multiple Symbol Detection,MSD)算法以完全形式检测分析为基础,利用每个符号局部最大度量和次大度量有效降低检测搜索空间和判决统计量计算次数,易于实现。最后,通过实验对所提算法进行仿真,结果表明系统检测性能和鲁棒性均显著提高。At present,efficient and reliable data transmission cannot be realized on the limited spectrum resources in the construction of smart cities.In order to meet the design requirements of IEEE 802.15.4c MPSK receiver for low cost and low complexity,a new MSD algorithm for MPSK signal based on frequency offset estimation is proposed.For system models that include carrier frequency offset(CFO),carrier phase offset(CPO),multiplicative fading and noise terms,the frequency offset is estimated and compensated for by constructing a metric function from the preamble.And with the help of the frequency offset compensated receiver signal and pseudo-random noise(PN)sequence,the metric function expression of the full-form detection algorithm is deduced;Based on the theory of full-form detection,the low-complexity multiple symbol detection(MSD)algorithm can effectively reduce the search space and the number of decision statistics computations for detection by searching for the local maximum metric and sub-maximum metric of each symbol,which is easy to implement.Finally,the simulation results show that the detection performance and robustness of the system are significantly improved.
关 键 词:MPSK调制 多符号检测 IEEE 802.15.4c标准 新型智慧城市
分 类 号:TN919.3[电子电信—通信与信息系统]
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