Selection of a received sequence by means of metrics

• US 8,379,775 B2
• Filed: 06/21/2007
• Issued: 02/19/2013
• Est. Priority Date: 06/22/2006
• Status: Active Grant

• Current Assignee: MediaTek, Inc.
• Original Assignee: MStar Semiconductor Incorporated (MediaTek, Inc.)
• Inventors: Alt, Daniel E.
• Primary Examiner(s): Payne, David C.
• Assistant Examiner(s): Hassan, Sarah
• Application Number:
  US12/304,587
• Publication Number:
  US 20090323868A1
• Time in Patent Office: 2,070 Days
• Field of Search: 375/343, 370/260, 370/342
• US Class Current: 375/343
• CPC Class Codes: H03M 13/3738 with judging correct decoding
• CPC Class Codes: H03M 13/41 using the Viterbi algorithm or Viterbi processors
• CPC Class Codes: H04L 1/0054 Maximum-likelihood or sequential decoding, e.g. Viterbi, Fano, ZJ algorithms
• CPC Class Codes: H04L 1/0059 Convolutional codes
• CPC Class Codes: H04L 1/0072 Error control for data other than payload data, e.g. control data

Abstract

A method of received data sequence assessment, the method comprising producing a correlation metric describing the fit to a received sequence of the most likely of a set of candidates for the received sequence and calculating an error metric indicative of discrepancies between the received sequence and its most likely candidate.

Claims

1. A method of received data sequence assessment on a user equipment device, the method comprising (1) producing, for each of one or more received data sequences, a correlation metric describing the fit to a respective received sequence of the most likely of a set of candidates for the received sequence and (2) calculating an error metric indicative of discrepancies between the respective received sequence and its most likely candidate, the method further comprising comparing the error metrics to a threshold to determine which of the received sequences has an error metric below the threshold and determining which of the received sequences having an error metric below the threshold has the best correlation metric, characterized in that if none of the received sequences has an error metric below the threshold the correlation metrics of all of the received sequences are inspected to determine which of the received sequences has the best correlation metric, wherein the received sequence is a HS-SCCH channel and the error metric is a bit-error rate.

2. A method according to claim 1, further comprising opting to perform signal processing operations on a signal associated with the received sequence having the best correlation metric if the error metric of the received sequence having the best correlation metric is below the threshold or if no received sequence has an error metric below the threshold.

3. A method according to claim 1, wherein correlation metrics are compared to one another in a manner avoiding bias due to differing power levels in communications providing the received sequences by comparing correlation metrics that are normalized in terms of the estimated signal strength of the underlying received sequences.

4. A method according to claim 3, wherein the normalization is achieved through multiplying the correlation metrics to be compared by each other'"'"'s corresponding received sequence'"'"'s estimated signal strength.