Abstract
In this paper, we present several blind model-based joint channel and data estimation methods for Orthogonal Frequency Division Multiplexing (OFDM) signals. We model the time-varying channel response as a polynomial in time. Joint channel estimation and data detection are accomplished by finding the data sequence and regression coefficients that results in the minimum metric between the data-dependent polynomial and the received samples. Our method does not require the information of the channel statistics like signal-to-noise ratio (SNR) or correlation function. Performing exhaustive search among candidate sequences, though optimal, is impractical for long sequences. We develop some suboptimal methods and discuss their pro and con. A two-stage hybrid detection algorithm is proposed and used for detecting differential phase shift keying (DPSK) signals in Rayleigh fading.
| Original language | English |
|---|---|
| Pages (from-to) | 791-795 |
| Number of pages | 5 |
| Journal | IEEE Vehicular Technology Conference |
| Volume | 2 |
| Issue number | 53ND |
| Publication status | Published - 2001 Jan 1 |
| Event | IEEE VTS 53rd Vehicular Technology Conference (VTS SPRING 2001) - Rhodes, Greece Duration: 2001 May 6 → 2001 May 9 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics