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Design And Implementation Of GSM Network Interference Identification Software

Posted on:2016-12-23Degree:MasterType:Thesis
Country:ChinaCandidate:S C ZhangFull Text:PDF
GTID:2308330473957111Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Now, new mobile communication technology has been applied. the new mobile network operators have been developing. Dedicated radio system takes the existing frequency resources, different network operators improper configuration, the transmitter to set their own problems, cell overlap, environment, electromagnetic compatibility(EMI) and intentional interference, will cause the RF interference in mobile communication network. The interference of GSM system seriously damage to the GSM network quality.Therefore, investigation and remediation of interference becomes an important task to improve the network quality. In accordance with the division of reasons for uplink interference, the uplink interference of GSM network, there are a number of the corresponding detection methods and tools, but have different positioning accuracy, problem investigation work hard to escape personnel experience judgment.This paper is to address the problem.For the uplink interference location investigation status of breakthrough, uplink interference positioning checking system of the in-depth study, demonstrate its accuracy, reliability.The main content:The calculation method of GSM identification software, proposes a noise filtering algorithm to filter out the noise in FAS. In order to solve the uplink interference is often several jamming types together, will cover the single interference characteristics.1. The calculation method of identification software, proposes a FAS level of interference and ICMBAND interference ratio method to determine the intermodulation interference based on data. Method: the intermodulation components calculation elements "five order and seven order". Correlation algorithm: the intermodulation components and busy FAS interference level correlations. "Busy and leisure" algorithm: busy FAS interference level and leisure FAS interference level comparison. The ICMBAND algorithm: busy ICMBAND interference ratio and leisure ICMBAND interference rate comparison.2. The calculation method of identification software, presents a method of FAS data based on the investigation of external wireless signal interference. The interference caused by external wireless signal source. Mainly refers to the wireless signal jammers outside, such as just in the use of GSM band coming into being the interference to the GSM signal.3. The calculation method of identification software puts forward a method of using FAS linear interference noise data repeater jamming analysis. As the repeater improper adjustment of parameters, not isolation interference and device malfunction. Conduct repeater interference analysis using FAS linear interference noise data.4. The calculation method of identification software puts forward a method using FAS nonlinear data frequency, GRRU interference analysis. Complete interference analysis by using nonlinear data without background noise.5. The calculation method of identification software puts forward a method of using FAS data to CDMA interference analysis of busy. For CDMA blocking interference analysis using the busy FAS data of 900 m cell.
Keywords/Search Tags:FAS, interference, noise, linear data, nonlinear data
PDF Full Text Request
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