2008Computer Engineering and Applications JournalRequires access

Ambiguity function of random frequency-hopping signals and its time-frequency analysis

Guo Jian-tao

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Abstract

Based on the analysis of ambiguity function and its characters about random frequency-hopping signal,the relation of rectangular kernel function which can be used in time-frequency analysis and signal ambiguity function is given,and a new time-frequency representation method is proposed.Theoretical deduction and simulation results show that it is effective to analyze fast frequency-hopping signal using this method.Compared with Smoothed Pseudo Wigner-Ville Distribution(SPWVD),this algorithm can reduce the cost of computation,save operation time under the situation that keep approximate performance and is suitable for real-time analyzing.

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What this paper is about

Based on the analysis of ambiguity function and its characters about random frequency-hopping signal,the relation of rectangular kernel function which can be used in time-frequency analysis and signal ambiguity function is given,and a new time-frequency representation method is proposed.Theoretical deduction and simulation results show that it is effective to analyze fast frequency-hopping signal using this method.Compared with Smoothed Pseudo Wigner-Ville Distribution(SPWVD),this algorithm can reduce the cost of computation,save operation time under the situation that keep approximate performance and is suitable for real-time analyzing.

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Available abstract

Based on the analysis of ambiguity function and its characters about random frequency-hopping signal,the relation of rectangular kernel function which can be used in time-frequency analysis and signal ambiguity function is given,and a new time-frequency representation method is proposed.Theoretical deduction and simulation results show that it is effective to analyze fast frequency-hopping signal using this method.Compared with Smoothed Pseudo Wigner-Ville Distribution(SPWVD),this algorithm can reduce the cost of computation,save operation time under the situation that keep approximate performance and is suitable for real-time analyzing.

Key concepts: Ambiguity function, Frequency-hopping spread spectrum, Time–frequency analysis, Ambiguity, Wigner distribution function, Algorithm, Function (biology), SIGNAL (programming language)

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