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Frequency Hopping Signal Blind Blind Detection And Parameter Estimation Research

Posted on:2013-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:S C ZhangFull Text:PDF
GTID:2248330374985182Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Frequency hopping (FH) communication has been widely applied in modernmilitary communications, mobile communications, WLAN and so on, due to itsnetworking capability, anti-jamming performance, low probability of interception anddetection. Therefore, effective FH signals detection and parameter estimation havebecome an important task in the communication reconnaissance and spectrummanagement. After reading lots of current literatures, we focus on FH signals blinddetection and parameter estimation by utilizing the time-frequency analysis. Our workincludes three aspects:1) We apply the time-frequency analysis,which is based on mastering principle offrequency hopping spread spectrum (FH-SS), then we focus on studing the Short TimeFourier Transform (STFT) and the Wigner-Ville Distribution (WVD) algorithms in FHsignals parameter estimation of application. We evaluate these algorithmscomprehensively by using simulation and comparison.2) Combined with the advantage of STFT and FH detection and parameterestimation in practical project applications, we propose a new method for FH signalsblind detection and blind parameter estimation in complex electromagnetic environment,which is based on the improved STFT. The simulation results show that: according toreside time and jumping time, this algorithm is able to estimate the parameter of signaland double FH,including hop period, hop frequency design, carrier frequency withexpect estimation performance.3) In order to further validate the feasibility of the algorithm, combined with thedesign requirements of the project on the detection and estimation of the FH signal, thealgorithm was verified in a hardware platform, and the standard C code of algorithmwas optimized to achieve the blind detection and blind parameter estimation of FHsignals in a short-wave and ultra-short wave. The test results show that the FH captureprobability is more than90%, the mean square error on estimating hop rate could becontrolled in5‰, which can reach the performance of project.
Keywords/Search Tags:frequency hopping, time-frequency analysis, STFT, blind detection andblind parameter estimation
PDF Full Text Request
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