Title :
Limitations of the Gaussian model for radar signals
Author :
Nayebi, Mohammad M. ; Aref, Mohammad R.
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
fDate :
29 Jun-4 Jul 1997
Abstract :
We show that the modeling of radar signals by a Gaussian random process has serious limitations in representing the various cases of radar signals. We show that, although the Rayleigh density function is a good model for the envelope of the target signal, the signal can not usually be modeled as a Gaussian process, i.e., the samples are not jointly Gaussian in spite of the use of this assumption by several authors. The case of coherent signals with unknown Doppler is also examined
Keywords :
Doppler effect; Gaussian processes; radar signal processing; signal sampling; Gaussian model limitations; Gaussian random process; Rayleigh density function; coherent signal statistics; noncoherent signal statistics; radar signals modeling; signal samples; target signal envelope; unknown Doppler; Computer aided software engineering; Doppler radar; Fluctuations; Frequency; Gaussian processes; Radar signal processing; Random processes; Random variables; Signal processing; Stochastic processes;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.612991