Title :
Data-aided ML parameter estimators for PSK burst modems and their systolic VLSI implementations
Author :
Jiang, Yimin ; Verahrami, F.B. ; Ting, Wen Chen ; Richmond, Robert L. ; Baras, John S.
Author_Institution :
Hughes Network Syst. Inc., Germantown, MD, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
A high performance Universal Modem ASIC that supports several modulation types and burst mode frame formats is under development. Powerful and generic data-aided (DA) parameter estimators are necessary to accommodate many modes. In this paper we present an approximated maximum likelihood (ML) carrier frequency offset estimator, ML joint carrier phase and timing offsets estimator and their systolic VLSI implementations for PSK burst modems. The performances are close to the Cramer-Rao lower bounds (CRLB) at low SNRs. Compared with theoretical solutions the estimators proposed here are much simpler and easier to implement by the current VLSI technology. The CRLB for DA estimations is discussed in some depth, some issues on training sequence design is also addressed in this work
Keywords :
VLSI; application specific integrated circuits; digital signal processing chips; frequency estimation; maximum likelihood estimation; modems; phase estimation; phase shift keying; systolic arrays; Cramer-Rao lower bounds; ML joint carrier phase and timing offsets estimator; PSK burst modems; approximated maximum likelihood carrier frequency offset estimator; burst mode frame formats; data-aided ML parameter estimators; high performance Universal Modem ASIC; modulation types; systolic VLSI implementations; training sequence design; Application specific integrated circuits; Estimation theory; Frequency estimation; Maximum likelihood estimation; Modems; Parameter estimation; Phase estimation; Phase shift keying; Timing; Very large scale integration;
Conference_Titel :
Global Telecommunications Conference, 1999. GLOBECOM '99
Conference_Location :
Rio de Janeireo
Print_ISBN :
0-7803-5796-5
DOI :
10.1109/GLOCOM.1999.827590
