Iterative Code-Aided ML Phase Estimation and Phase Ambiguity Resolution
<p/> <p>As many coded systems operate at very low signal-to-noise ratios, synchronization becomes a very difficult task. In many cases, conventional algorithms will either require long training sequences or result in large BER degradations. By exploiting code properties, these problems c...
Main Authors: | Wymeersch Henk, Moeneclaey Marc |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2005-01-01
|
Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/ASP.2005.981 |
Similar Items
-
A Theoretical Framework for Soft-Information-Based Synchronization in Iterative (Turbo) Receivers
by: Noels Nele, et al.
Published: (2005-01-01) -
A Theoretical Framework for Soft-Information-Based Synchronization in Iterative (Turbo) Receivers
by: Lottici Vincenzo, et al.
Published: (2005-01-01) -
Kinematic ME-MAFA for Pseudolite Carrier-Phase Ambiguity Resolution in Precise Single-Point Positioning
by: Kai Liu, et al.
Published: (2020-10-01) -
On-The-Fly Ambiguity Resolution Based on Double-Differential Square Observation
by: Tengfei Wang, et al.
Published: (2018-08-01) -
On-the-fly carrier phase ambiguity resolution without using pseudorange measurements for satellite-based differential positioning
by: Lee, Shane-Woei
Published: (1994)