CAJ | 학술논문

无线传感器网络（WSN）在复杂应用环境下的双选信道特征配准算法研究，是对WSN数据管理的关键技术，WSN在数据发送中要经历时间和频率的双选择性衰落，为了在接收端被正确地接收，需要进行特征配准设计。传统方法采用普勒域单信道配准方法，特征配准效果不好。提出一种基于时延-多普勒域的时间和频率双选信道特征配准算法，满足复杂应用环境下的WSN数据管理需求。在线自适应调整信道配准控制误差，动态实时捕获信道传输数据，实现节点自适应优化分布，通过信道模型构建，对WSN进行时延-多普勒域表征，采用双选信道估计方法实现特征配准。仿真结果表明，该算法在复杂应用环境下，根据不同的调制信号，在不同带内信噪比下能实现对WSN的双选信道特征配准，准确率高于传统算法，抗噪性能较好，提高WSN的数据管理和调度能力，展示了本文算法的优越性能。
무선전감기망락（WSN）재복잡응용배경하적쌍선신도특정배준산법연구，시대WSN수거관리적관건기술，WSN재수거발송중요경력시간화빈솔적쌍선택성쇠락，위료재접수단피정학지접수，수요진행특정배준설계。전통방법채용보륵역단신도배준방법，특정배준효과불호。제출일충기우시연-다보륵역적시간화빈솔쌍선신도특정배준산법，만족복잡응용배경하적WSN수거관리수구。재선자괄응조정신도배준공제오차，동태실시포획신도전수수거，실현절점자괄응우화분포，통과신도모형구건，대WSN진행시연-다보륵역표정，채용쌍선신도고계방법실현특정배준。방진결과표명，해산법재복잡응용배경하，근거불동적조제신호，재불동대내신조비하능실현대WSN적쌍선신도특정배준，준학솔고우전통산법，항조성능교호，제고WSN적수거관리화조도능력，전시료본문산법적우월성능。
Wireless sensor network (WSN) of doubly selective channel feature matching algorithm in complex application environment is the key technology of WSN data management, doubly selective WSN to experience time and frequency in da?ta transmitting fading, in order to be correctly receive the signal, need for feature matching design. The traditional method used the Doppler domain single channel matching method, and feature registration effect is not good. A time and frequency doubly selective channel feature matching algorithm of time delay-Doppler domain is proposed for WSN data management, it meets the needs of complex application environment. Online adaptive adjustment channel registration error is controlled, dynamic real-time capture channel transmission data, realize node adaptive optimization distribution, through the construc?tion of channel models, delay Doppler domain characterization of WSN is estimated, feature matching using the doubly se?lective channel is designed. The simulation results show that the algorithm can be applied in complex application environ?ment, according to the different modulation signals, in different band SNR, it can realize doubly selective channel feature matching for WSN, accuracy is higher than that of the traditional algorithm, it has better anti noise performance, improves the data management and scheduling capability of WSN, it shows the superior performance of the algorithm.