Method and apparatus for iterative timing and carrier recovery

a receiver and carrier technology, applied in the direction of synchronisation signal speed/phase control, pulse technique, synchronisation arrangement, etc., can solve the problems of large number of errors, non-data-aided approach, and additional self-nois

Inactive Publication Date: 2012-02-16
THOMSON LICENSING SA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

A description will now be given of the many attendant advantages and features of the present principles, some of which have been mentioned above. For example, one advantage is a method for iterative timing recovery comprising performing adaptive equalization and maximum likelihood sequence estimation in order to recover symbol timing. Another advantage is an apparatus for iterative timing recovery comprising an comprising adaptive equalizer for performing adaptive equalization and a symbol detector for performing maximum likelihood sequence estimation in order to recover symbol timing. Another advantage is a method for iterative timing recovery comprising filtering an interpolated first error signal using a matched filter, equalizing the filtered interpolated first error signal, detecting a timing error with an M&M timing error detector to produce a second error signal, and using said second error signal to recover the timing of a signal that uses faster-than-Nyquist signaling. Yet another advantage is an apparatus for iterative timing recovery comprising a matched filter for filtering an interpolated first error signal using a matched filter, an equalizer for equalizing the filtered interpolated first error signal, a timing error detector for detecting a timing error with an M&M timing error detector to produce a second error signal, and a recovery circuit for using said second error signal to recover the timing of a signal that uses faster-than-Nyquist signaling.

Problems solved by technology

However, it relies on a decision directed or non-data-aided approach to estimate the phase error at each time instant.
In decision-directed approach, the decision errors will cause additional self noise while the non-data-aided approach can only apply to a limited number of multiple phase shift keying (MPSK) formats.
Further, the feedback carrier recovery scheme could be disturbed by cycle slips which may cause a large number of errors due to phase ambiguity.
This reduces the bandwidth efficiency since no data is transmitted during a pilot or sync interval.
The second disadvantage of the feed-forward carrier recovery is the inability to recover large frequency offsets or phase variations due to phase noise between the measurement blocks.
Timing recovery in FTN signaling becomes a huge challenge due to strong ISI effects when the symbols period is squeezed to get higher bandwidth efficiency.

Method used

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  • Method and apparatus for iterative timing and carrier recovery
  • Method and apparatus for iterative timing and carrier recovery
  • Method and apparatus for iterative timing and carrier recovery

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Embodiment Construction

[0019]An approach for iterative time recovery for transmission systems is described herein.

[0020]FTN signaling can be modeled as a channel response with memory. Furthermore, the optimum signal detector in an Additive White Gaussian noise (AWGN) band limited channel is the maximum likelihood detector or maximum a posteriori detector if a priori information is available. It is also clear that the optimum symbol detector for FTN signaling relies not only on the current symbol but also the neighbor symbols. The interference introduced by the neighbor symbols is called inter-symbol interference (ISI). The ISI distorted signals are modeled with a trellis structure and its memory is often infinite. So infinite states in the trellis have to be considered for symbol detection. One way to solve this problem is to reduce the number of states in the decoding process by using sub-optimum decoding structures. In this disclosure, the idea of Maximum Likelihood Sequence Estimation (MLSE) is used to...

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Abstract

Method and apparatus for iterative timing recovery for FTN signaling are provided. The iterative timing recovery method and apparatus uses a feedback timing error signal from a forward error correction block with an additional equalizer prior to a maximum a posteriori (MAP) decoder which matches the equalized FTN signal to a truncated inter-symbol interference (ISI) target. A timing error is then generated using a modified M&M timing error detector.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Application Ser. No. 61 / 217,333, entitled “SYSTEM AND METHODS FOR SATELLITE SYSTEMS,” filed May 29, 2009 which is incorporated by reference herein in its entirety.FIELD OF THE INVENTION[0002]The present principles relate to iterative timing recovery in receivers systems.BACKGROUND OF THE INVENTION[0003]Carrier recovery schemes can be classified into two structures: feed-forward structure and feedback structure.[0004]The feedback carrier recovery uses a digital Phase Locked Loop (PLL) to track out the carrier phase and frequency offset. However, it relies on a decision directed or non-data-aided approach to estimate the phase error at each time instant. In decision-directed approach, the decision errors will cause additional self noise while the non-data-aided approach can only apply to a limited number of multiple phase shift keying (MPSK) formats. Further, the feedback carrier recov...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): H04L27/01
CPCH04L7/0062H04L7/10H04L27/0014H04L2027/0053H04L2027/0067H04W56/005H04L7/042H04L27/2613H04L27/2656H04L27/2678H04L27/2679H04H40/90H04L7/04H04L27/00
Inventor SCHMITT, DIRKKNUTSON, PAUL GOTHARDGAO, WEN
Owner THOMSON LICENSING SA
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