近年来,北斗导航系统建设逐渐完善,北斗三号区域短报文通信(Reginal Short Message Communication, RSMC)服务已进入行业应用越来越广的关键时期。WiFi信号与北斗三号RSMC出站信号频率接近,在实际使用过程中,2个系统可能存在兼容性问题...近年来,北斗导航系统建设逐渐完善,北斗三号区域短报文通信(Reginal Short Message Communication, RSMC)服务已进入行业应用越来越广的关键时期。WiFi信号与北斗三号RSMC出站信号频率接近,在实际使用过程中,2个系统可能存在兼容性问题。针对WiFi信号干扰对北斗三号RSMC出站信号性能的影响问题,介绍了北斗三号RSMC出站信号的空口特性,分析了WiFi信号对北斗三号RSMC出站信号的带外干扰和带内干扰,基于等效载噪比的分析方法,从载噪比损失方面对干扰的强度做了仿真分析,并给出了改进方法。研究结果为WiFi和北斗区域短报文服务兼容并存提供技术基础。展开更多
Aiming at the problem that the positioning accuracy of WiFi indoor positioning technology based on location fingerprint has not reached the requirements of practical application, a WiFi indoor positioning and tracking...Aiming at the problem that the positioning accuracy of WiFi indoor positioning technology based on location fingerprint has not reached the requirements of practical application, a WiFi indoor positioning and tracking algorithm combining adaptive affine propagation (AAPC), compressed sensing (CS) and Kalman filter is proposed. In the off-line phase, AAPC algorithm is used to generate clustering fingerprints with optimal clustering effect performance;In the online phase, CS and nearest neighbor algorithm are used for position estimation;Finally, the Kalman filter and physical constraints are combined to perform positioning and tracking. By collecting a large number of real experimental data, it is proved that the developed algorithm has higher positioning accuracy and more accurate trajectory tracking effect.展开更多
文摘近年来,北斗导航系统建设逐渐完善,北斗三号区域短报文通信(Reginal Short Message Communication, RSMC)服务已进入行业应用越来越广的关键时期。WiFi信号与北斗三号RSMC出站信号频率接近,在实际使用过程中,2个系统可能存在兼容性问题。针对WiFi信号干扰对北斗三号RSMC出站信号性能的影响问题,介绍了北斗三号RSMC出站信号的空口特性,分析了WiFi信号对北斗三号RSMC出站信号的带外干扰和带内干扰,基于等效载噪比的分析方法,从载噪比损失方面对干扰的强度做了仿真分析,并给出了改进方法。研究结果为WiFi和北斗区域短报文服务兼容并存提供技术基础。
文摘Aiming at the problem that the positioning accuracy of WiFi indoor positioning technology based on location fingerprint has not reached the requirements of practical application, a WiFi indoor positioning and tracking algorithm combining adaptive affine propagation (AAPC), compressed sensing (CS) and Kalman filter is proposed. In the off-line phase, AAPC algorithm is used to generate clustering fingerprints with optimal clustering effect performance;In the online phase, CS and nearest neighbor algorithm are used for position estimation;Finally, the Kalman filter and physical constraints are combined to perform positioning and tracking. By collecting a large number of real experimental data, it is proved that the developed algorithm has higher positioning accuracy and more accurate trajectory tracking effect.