DocumentCode :
339065
Title :
The modified autocorrelation technique for parameter estimation of random FH signals
Author :
Janani, Mohammad ; Vakili, Vahid Tabataba ; Jamali, Hamidreza
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
1998
fDate :
1998
Firstpage :
188
Abstract :
Multiple-hop autocorrelation (MHAC) processing is used for estimating the parameter of frequency-hopping (FH) signals in the presence of broadband thermal noise. The dependence on hopping frequency carrier phase and hop timing is suppressed by power sampling in the MHAC domain, while maintaining signal power and hop-rate information. We propose and analyze a joint recursive signal power and hop-rate estimator, based on maximum likelihood arguments. The conditional mean and variance of the estimator are derived and compared to a similar method assuming a priori knowledge of signal power
Keywords :
correlation methods; frequency hop communication; maximum likelihood estimation; recursive estimation; signal sampling; statistical analysis; thermal noise; broadband thermal noise; conditional mean; frequency-hopping signals; hop-rate estimator; hop-rate information; maximum likelihood arguments; modified autocorrelation technique; multiple-hop autocorrelation processing; parameter estimation; power sampling; random FH signals; recursive signal power estimator; signal power; variance; Additive white noise; Autocorrelation; Band pass filters; Frequency; Gaussian noise; Maximum likelihood estimation; Parameter estimation; Phase noise; Signal processing; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
Type :
conf
DOI :
10.1109/ICOSP.1998.770181
Filename :
770181
Link To Document :
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