Channel estimation for frequency hopping systems via multiple invariances

The problem of channel estimation for a frequency hopping system is considered. Under a discrete multipath fading model, the path gains and delays are estimated separately. By exploiting fixed (but unknown) patterns in the data packet, the delay estimation problem is formulated in an ESPRIT-like format by identifying multiple rotational invariance structures in the received data. Since ESPRIT is limited to exploitation of single invariance, the previously proposed SPECC algorithm is employed for the multipath delay estimation. Performance results based on simulations are presented.

[1]  L. B. Milstein,et al.  Theory of Spread-Spectrum Communications - A Tutorial , 1982, IEEE Transactions on Communications.

[2]  Pou-Tou Sun,et al.  Hidden preamble detector for acquisition of frequency hopping multiple-access communication system , 1997 .

[3]  Ananthram Swami,et al.  Flat fading approximation error , 2000, IEEE Communications Letters.

[4]  Andreas Polydoros,et al.  Hop-timing estimation for FH signals using a coarsely channelized receiver , 1994, Proceedings of MILCOM '94.

[5]  Y. A. Chau,et al.  Spectral-estimation-based acquisition for frequency-hopping spread-spectrum communications in a nonfading or Rayleigh-fading channel , 1997, IEEE Trans. Commun..

[6]  Thomas Kailath,et al.  ESPRIT-A subspace rotation approach to estimation of parameters of cisoids in noise , 1986, IEEE Trans. Acoust. Speech Signal Process..

[7]  Ananthram Swami,et al.  Channel estimation for frequency hopping systems , 1999, MILCOM 1999. IEEE Military Communications. Conference Proceedings (Cat. No.99CH36341).

[8]  Roger L. Peterson,et al.  Slow frequency-hop TDMA/CDMA for macrocellular personal communications , 1994, IEEE Personal Communications.

[9]  Björn E. Ottersten,et al.  Multiple invariance ESPRIT , 1992, IEEE Trans. Signal Process..

[10]  Lang Tong,et al.  Signal parameter estimation via the Cayley-Hamilton constraint , 2001, IEEE Signal Processing Letters.

[11]  L. Tong,et al.  Multichannel blind identification: from subspace to maximum likelihood methods , 1998, Proc. IEEE.

[12]  F. R. Gantmakher The Theory of Matrices , 1984 .