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李铮,欧阳卫华,蒋文豪.基于LTE系统的改良接收信号功率测量方法[J].重庆邮电大学学报(自然科学版),2018,30(6):746-751. 本文二维码信息
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基于LTE系统的改良接收信号功率测量方法
Improvement of RSRP measurement method for LTE system
投稿时间:2018-01-30  修订日期:2018-10-29
DOI: 10.3979/j.issn.1673-825X.2018.06.003
中文关键词:  长期演进(LTE)  测量  同步偏差  参考信号接收功率
English Keywords:long term evolution(LTE)  measurement  synchronous deviation  reference signal receiving power(RSRP)
基金项目:重庆市教委科研项目(KJ1500443,KJ1704096,KJQN201800642,KJQN201803310)
作者单位E-mail
李铮 重庆邮电大学 移动通信工程研究中心,重庆 400065 lizheng@cqupt.edu.cn 
欧阳卫华 重庆邮电大学 移动通信工程研究中心,重庆 400065 ouyangwh@cqupt.edu.cn 
蒋文豪 重庆航天职业技术学院 计算机工程系,重庆 400021 yljdp@yeah.net 
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中文摘要:
      在长期演进(long term evolution,LTE)系统中,移动终端需要定时更新同一小区和相邻小区的测量信息,以便于及时进行小区切换或重选。传统的接收信号功率测量算法虽然能够降低干扰和噪声对接收端信号的影响,然而在LTE无线环境下,参考信号接收功率(reference signal receiving power,RSRP)常常受到时间同步和频偏影响,难以获得精确的测量结果。针对该问题,基于LTE系统结构和测量标准提出一种改良的接收信号功率测量算法。该算法对时间和频率同步要求低,且接收信号功率测量性能有所提升。该算法分别在频域和时域计算接收信号功率测量值,并选择两者中较大者作为小区最终接收信号功率值。仿真结果表明,在频偏不大于3 kHz、定时偏差不大于30 ns时,所述接收信号功率测量算法,相对于传统算法有1 dB以上的平均测量误差的性能提升。
English Summary:
      In long term evolution (LTE) system, the terminal is required to update the measurement information of same or neighboring cell to facilitate timely cell handover or reselection. Although the traditional received signal power measurement methods can reduce the influence of interference and noise on the signal at the receiving end, however, in LTE wireless environment, the reference signal receiving power(RSRP), which is often subject to time synchronization and frequency offset, is difficult to obtain precise measurement results. To solve this, an improved power measurement method of received signal based on both the structure of LTE system and measurement criterion is proposed. This algorithm requires low time and frequency synchronization, and the measurement performance of the received signal is improved slightly. The power measurement value of the received signal is calculated in frequency and time domain, respectively, and the larger of the two values is considered as the final received signal value. Simulation results show that the performance gain based on average measurement error of the proposed algorithm over traditional algorithm can achieve more than 1dB when the frequency offset is not more than 3 kHz, the time deviation is not more than 30 ns.
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