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Research On The Technology Of Detecting And Receiving Based On Non-cooperation Signal

Posted on:2011-11-13Degree:MasterType:Thesis
Country:ChinaCandidate:Q T SongFull Text:PDF
GTID:2178330338476008Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
With the rapid development of the military electronic technology, electronic warfare is in an extremely important strategic position in modern warfare. In the modern electronic warfare, receiver is an important part of the electronic information guarantee system, whose main function is to receive the signal in the complex signal environment of non-cooperation, and its performance directly affects the quality of the obtained electronic information. The development of high speed and low power in modern wireless communication and the inherent features of intercepted information, propose an urgent demand to the non-cooperation reciving technology, which has low signal-to-noise ratio threshold and the ability of anti-channel fading and distortion. In non-cooperative communication environment, there are only observing signals and prior information in the receiving end. How to process signal quickly and accurately is one problem of the non-cooperation receiving technology. The distributed receiving teachnology which rose in the past few years can solve such problems well.In distributed receiving antenna circumstaces, every signal produces output in different sensor by nonlinear mapping for frequency domain, airspace and modulation, which can be expressed the basic nonlinear problem. The establishment of optimized dynamic space model makes the signals change into the mapping stae equation and observation equation. Using nonlinear filtering technique to realize the signal's joint estimation in frequency domain, airspace and modulation obtains multiple radiation sources'frequency, orientation, location and baseband information, rather than signal arrival, location and signal demodulation in different frequency. Distributed receiving technology will work hard to eliminate rigid constraints of antenna position, RF Channel and signal processing algorithm and realize the flexible detection systems, which will get high sensitivity detection results.The particle filter which rose up in recent years is a very robust frame, and it is not limited to linear sysystem and also does not require Gaussian noise. The paricle filter uses some random samples to represent the posteriori probability distribution of system state, and can be applied to any non-linear random system.This paper mainly on non-cooperative signal through inleading distributed receiving technology into non-cooperative signal parameter estimation, proposes a new idea about realizing non-cooperative signal receiving. Fist of all, the paper introduces the traditional method of non-cooperative signal receiving, and points the default of this method, especially in the traditional demodulation there are still acertain difficulties in realizing carrier synchronization and bit synchronization. Then the advantages of using distributed receiving technology in signal receiving and detecting are analysized and the state space model is established, which changes the problem of non-cooperative signal receiving and detecting into the problem of nonlinear filtering. The concept of signal holographic is definited. And then several algorithms of nonlinear filtering are analyzed. In the following two chapters, two problems about signal parameter estimation and particle filter algoriyhm are discussed. The particle filter holographic receiver is proposed, which uses particle filter algorithm in signal receiving and detecting. There is a lage increase in the overall performance. And the improved algorithm of paticle filter is analysized, which is used in the signal receiving and detecting to reduce operations and improve the receiving sensitivity. At last, using comparable simulations on views and opinions the paper involved, we verified the theoretical study's feasibility and reliability.
Keywords/Search Tags:Non-cooperative Signal, Particle Filtering, Parameter Estimation, Distributed Receiving
PDF Full Text Request
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