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Adaptive Modulation Method using Non-Line-of-Sight Identification Algorithm in LDR-UWB Systems
마림천,황재호,최낙현,김재명,Ma, Lin Chuan,Hwang, Jae-Ho,Choi, Nack-Hyun,Kim, Jae-Moung The Korea Institute of Information and Commucation 2008 韓國通信學會論文誌 Vol.33 No.12A
Non-line-of-sight (NLOS) propagation can severely weaken the accuracy of ranging and localization in wireless location systems. NLOS bias mitigation techniques have recently been proposed to relieve the NLOS effects, but positively rely on the capability to accurately distinguish between LOS and NLOS propagation scenarios. This paper proposes an energy-capture-based NLOS identification method for LDR-UWB systems, based on the analysis of the characteristics of the channel impulse response (CIR). With this proposed energy capture method, the probability of successfully identifying NLOS is much improved than the existing methods, such as the kurtosis method, the strongest path compare method, etc. This NLOS identification method can be employed in adaptive modulation scheme to decrease bit error ratio (BER) level for certain signal-to-noise ratio (SNR). The BER performance with the adaptive modulation can be significantly enhanced by selecting proper modulation method with the knowledge of channel information from the proposed NLOS identification method.
Adaptive Modulation Method using Non-Line-of-Sight Identification Algorithm in LDR-UWB Systems
Lin Chuan Ma(마림천),Jae Ho Hwang(황재호),Nack Hyun Choi(최낙현),Jae-Moung Kim(김재명) 한국통신학회 2008 韓國通信學會論文誌 Vol.33 No.12A
Non-line-of-sight (NLOS) propagation can severely weaken the accuracy of ranging and localization in wireless location systems. NLOS bias mitigation techniques have recently been proposed to relieve the NLOS effects, but positively rely on the capability to accurately distinguish between LOS and NLOS propagation scenarios. This paper proposes an energy-capture-based NLOS identification method for LDR-UWB systems, based on the analysis of the characteristics of the channel impulse response (CIR). With this proposed energy capture method, the probability of successfully identifying NLOS is much improved than the existing methods, such as the kurtosis method, the strongest path compare method, etc. This NLOS identification method can be employed in adaptive modulation scheme to decrease bit error ratio (BER) level for certain signal-to-noise ratio (SNR). The BER performance with the adaptive modulation can be significantly enhanced by selecting proper modulation method with the knowledge of channel information from the proposed NLOS identification method.