The Virtual Antenna of Measurement Report Based Method for Mobiles Location Tao Fu, Benxiong Huang, Yijun Mo . Department of Huazhong University of Science & Technology, Wuhan 430074, China Abstract: Location base services (LBS) have been applied in many fields, and the researches work based location methods are always on the least square methods, such as Taylor Series, Kalman filter, Chan algorithm, etc. Our practical measurement has proofed that utilization of unmodified propagation models (Okumura-Hata) would cause significant errors. This paper deals with an escalating method to utilize more available information of measurement reports (MR) for accuracy enhancement. The nearby MRs bined as a time series for Kalman filter, and received signal level of the virtual antenna is defined for more sensitive position weight. We also propose a step-by-step rotation algorithm to utilize the antenna azimuth for accessing the mobile station position. This approach turns out to be essful, achieving accuracies of the fingerprints in practical test runs. Further improvement is possible by recursively filtering original cells and substitution of Taylor Series. Key words: location based service (LBS); virtual antenna; measurement report (MR); enhanced CI-RXLEV (CI-RXLEV-E) algorithm; position error size (PES). Introduction In the field of work optimization, there are always two kinds of data sources: drive test and operation & management center – radio (OMC-R) database. Drive test, including the call quality test (CQT), could get details of the wireless signal and protocol procedures of the air interface. But the limitation is that the data collected by drive test only reflects the places passed by the test engineers. Most of the places, such as forests and indoors, couldn’t be measured due to the land ownership and humanity of engineers. OMC-R database receives statistics of all equipment operations. The statistics are averages or sums of the operations during a time in