Research On Non-cooperative Multi-signal Detection And Its Carrier Frequency And Bandwidth Estimation Techniques

Signal detection and parameter estimation are the basic problem in signal processing domian,and we are often faced with these problems in communication,navigation,radar,remote sensing,geologic reconnoissance and so on.This article mostly research non-cooperation muti-signals detection,and estimates every signal's center frequency and bandwidth according to the detection results.This article includes several parts thereinafter:Firstly,we introduce the research actuality about signal detection and parameter estimation around the world.By comparing many methods,we chose the most appropriate method finally.Secondly,we introduce a basic detection method based on power spectrum amplitude and the improved method,then we compare different methods' performance by simulation.Thirdly,to solve the problem about uneven noise floor of original power spectrum,we choose nonlinear recursive smoothing filter algorithms(NLR).Further more,we try to improve its performance with some methods.Fourthly,we put forward new signal detection method and new bandwidth estimation method based on the improved NLR algorithm,and Monte Carlo simulation proof-test their performance.Lastly,utilizing the characters of adjacent signals spectrum,we find a simple method to distinguish single signal and adjacent signals.