Title :
Wavelet-based estimation of the nonstationary mean signal in wireless systems
Author :
Narasimhan, Ravi ; Cox, Donald C.
Author_Institution :
Marvell Semicond. Inc., Sunnyvale, CA, USA
Abstract :
A new technique is described for estimating the nonstationary mean signal received at a mobile station in a Rayleigh fading environment. The estimate is based on samples taken at the midpoints between the local minima of the received envelope. The continuous wavelet transform is used to estimate the local minima. An estimate of the mean signal is obtained using a fixed number of local minima. This technique requires neither an estimate of the mobile speed nor an adaptive temporal averaging window in contrast to other estimators. Simulations show that the mean signal is estimated well in a nonstationary environment with variable mobile speed.
Keywords :
Rayleigh channels; correlation methods; land mobile radio; noise; parameter estimation; signal processing; wavelet transforms; continuous wavelet transform; correlated Rayleigh fading; correlated log-normal shadowing; local minima estimation; mean signal; mobile station; noise model; nonstationary environment; nonstationary mean signal; received signal envelope; signal processing; simulations; variable mobile speed; wavelet-based estimation; wireless propagation model; wireless systems; Base stations; Continuous wavelet transforms; Filters; Frequency estimation; Rayleigh channels; Shadow mapping; Signal analysis; Wavelet analysis; Wavelet transforms; Wireless communication;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
