Attitude Estimation for In-Service Base Station Antenna Using Downlink Channel Fading Statistics

A maximum-likelihood-estimation method is proposed for extracting the attitude of a sectoring base station (BS) antenna by using the received signal strengths observed by multiple user equipments (UEs) in this contribution. This method calculates the likelihood function of the antenna attitude deriv...

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Bibliographic Details
Published in:International journal of antennas and propagation 2015-01, Vol.2015 (2015), p.1-15
Main Authors: Ruiz Boqué, Silvia, He, Yongyu, Yin, Xuefeng, Ling, Cen
Format: Article
Language:English
Subjects:
Antennas
Calibration
Channels
Fading
Line of sight
Mathematical analysis
Signal strength
Simulation
Statistics
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Summary:A maximum-likelihood-estimation method is proposed for extracting the attitude of a sectoring base station (BS) antenna by using the received signal strengths observed by multiple user equipments (UEs) in this contribution. This method calculates the likelihood function of the antenna attitude derived by taking into account the multiscale fading statistics, that is, path loss, shadowing, and multipath fading. Depending on whether a calibration result of these fading statistics is available or not, the proposed method can be utilized in either calibration-based estimation (CBE) or calibration-free estimation (CFE) approaches. The performance of both methods is evaluated by Monte-Carlo simulations and real experiments. The results obtained demonstrate that the estimation accuracy of both CBE and CFE approaches increases when the percentage of UEs in the line-of-sight (LoS) condition among all available UEs increases and, moreover, the total number of UEs has no significant impact on the estimation accuracy. Furthermore, the CFE exhibits more robust performance than the CBE particularly in the case where the calibration results involve uncertainties.
ISSN:1687-5869
1687-5877
DOI:10.1155/2015/898631