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Detection and Parameter Estimation of Dsss Based on HHT

Author: WangLiPing
Tutor: ShaoGaoPing
School: PLA Information Engineering University
Course: Detection Technology and Automation
Keywords: DS signal Signal detection Parameter estimation Hilbert-Huang Transform Empirical Mode Decomposition Intrinsic mode functions
CLC: TN914.42
Type: Master's thesis
Year: 2009
Downloads: 75
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Abstract


Direct sequence spread spectrum communication has strong anti-interference , low interception and low probability of detection , multipath effects can be suppressed , and code division multiple access , etc. , are increasingly replacing conventional communication widely used in satellite communications , global positioning systems and Friend or Foe identify modern civil and military communications systems . , How the non-cooperative conditions under DS signal hidden in the noise the effective blind detection and estimation , has become a strong application background and challenging research topic . DS signal is broadband weak signal in a lower signal-to-noise ratio , the conventional detection and parameter estimation method , not should guarantee performance , and therefore the need to find new ways to solve this problem . This paper presents the Hilbert - Huang transform (HHT) DS signal detection and parameter estimation , the main work is as follows : 1 . Summarizes the the HHT existing several problems , put forward a better way to solve the boundary effect extreme points weigh prediction method. . DSSS signal characteristics of the HHT , and proposed based on the HHT DSSS signal detection and parameter estimation method . The simulation experiments show that this method can work in the signal-to-noise ratio of -20dB environment , avoids the multidimensional search and parameter estimation , computational efficiency , and to provide an effective way to spread spectrum communication signal detection problem in non- collaborative case also expand the applications of the theory of HHT . The combination of the empirical mode decomposition and the related accumulated technology to improve the traditional square multiplier detection method DSSS signal detection and accurate estimate of the carrier frequency , so that the signal-to-noise ratio tolerance reduce 11dB . 4. Of using HHT decomposition of adaptability and good when frequency concentration improved the traditional cyclic spectrum detection and parameter estimation method , accurate the lower SNR BARS expansion signal detection and carrier frequency , symbol rate and other parameters estimated .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication systems ( transmission system) > Frequency hopping spread spectrum communication system > Spread spectrum communication
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