Title :
The distribution of the amplitude and continuous phase of a sinusoid in noise
Author :
Campbell, L. Lorne ; Wittke, P.H. ; Swanson, Glenn D.
Author_Institution :
Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
fDate :
11/1/1988 12:00:00 AM
Abstract :
A derivation of the joint distribution of the amplitude and angle of a sinusoid in Gaussian noise is given. No assumptions about the structure of the noise at the output of the post-detection filter are required. However, it is assumed that the Gaussian noise at the input is generated by passing white noise through the bandpass equivalent of a single-pole low-pass filter. Hence, the noise is a two-dimensional Ornstein-Uhlenbeck or Gauss-Markov process. In practice, a higher-order bandpass filter would be encountered in FM reception. However, the approach is intended as a first step towards the goal of an understanding of the phase process. The method used is to derive and solve the Fokker-Planck partial differential equation that governs the joint distribution. An explicit integral formula for the solution is obtained. The integral is, in general, rather difficult to evaluate. A further integration over amplitude is required if the angle distribution rather than the joint distribution is required. For some special-cases, where the filtering time is large and the signal-to-noise power ratio is very large or very small, explicit approximate expressions are given
Keywords :
filtering and prediction theory; frequency modulation; noise; partial differential equations; random processes; FM reception; Fokker-Planck partial differential equation; Gauss-Markov process; Gaussian noise; amplitude; angle distribution; bandpass; continuous phase; higher-order bandpass filter; integral formula; joint distribution; noise; post-detection filter; single-pole low-pass filter; sinusoid; two-dimensional Ornstein-Uhlenbeck; white noise; Band pass filters; Digital filters; Filtering; Frequency; Gaussian noise; Helium; Low pass filters; Noise level; Partial differential equations; Phase detection; Phase noise; Signal analysis; Signal processing; Signal to noise ratio; White noise;
Journal_Title :
Information Theory, IEEE Transactions on