US 6,310,887 B1Granted

Transmission speed predicting apparatus and transmission speed predicting method

AssigneeSony Corporation

InventorIzumi Hatakeyama

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Abstract

First data is repeatedly sent out by using various sorts of transfer speeds by a receiver; a preselected number of polarity information about the first data is sequentially compared with each other by a first incoincident number detector to detect a first incoincident number; a most likelihood pathmetric value is detected by Viterbi-decoding each of second data a most likelihood detector; the polarity information of the respective second data is compared with the polarity information of corresponding coded data by a second incoincident number detector to detect a second incoincident number; and the transfer speed of the transmission processing is predicted by a transfer speed predicting circuit based on the first incoincident number, the most likelihood pathmetric value, and the second incoincident number, acquired every transfer period. Even when a relatively large number of errors happen to occur in the decoded data, the transfer speed can be predicted by greatly reducing the errors by using the first incoincident number acquired without being adversely influenced by the occurrence condition of the error.

Claims8

Dependent claims

A transmission speed predicting apparatus for selecting one transmission processing speed of digital data from a plurality of transmission processing speeds having a relation of a predetermined ratio, for convolution-coding the digital data, and producing repeated data by repeating each bit data of the convolution-coded data a number of times based on a ratio of the selected transmission processing speed to a maximum transmission processing speed among the plurality of transmission processing speeds, and for predicting a transmission processing speed of transmission data from received data obtained by receiving the transmission data including the digital data and the repeated data, said transmission speed predicting apparatus comprising:

receiving means for producing first decision data including polarity data of each bit of the received data by processing the received data;
storing means for storing the first decision data supplied from said receiving means;
first incoincident number detecting means for reading the first decision data from said storing means at each of the plurality of transmission processing speeds and comparing polarity data corresponding to each bit data of the digital data in the received data with polarity data corresponding to the repeated data based on each bit data and detecting a first incoincident number using a result of the comparison, and for selecting a most likely polarity data from the polarity data corresponding to each bit data of the digital data and the polarity data corresponding to the repeated data and producing second decision data using the selected most likely polarity data;
most likelihood value detecting means for Viterbi-decoding the second decision data for each of the plurality of transmission processing speeds so as to produce decoded data, and for detecting a most likelihood pathmetric value;
second incoincident number detecting means, including convolution-coding means for producing convolution-coded data by convolution-coding the decoded data, for comparing corresponding polarity data of the coded data supplied by said convolution-coding means with polarity data of the second decision data for each of the plurality of transmission processing speeds, and detecting a second incoincident number using a result of the comparison;
and
transfer speed selecting means for selecting the transmission processing speed of the transmission data corresponding to the received data based upon the first incoincident number, the most likelihood pathmetric value, and the second incoincident number.

4 more elements

A transmission speed predicting method for selecting one transmission processing speed of digital data from a plurality of transmission processing speeds having a relation of a predetermined ratio, for convolution-coding the digital data, and producing repeated data by repeating each bit data of the convolution-coded data a number of times based on a ratio of the selected transmission processing speed to a maximum transmission processing speed among the plurality of transmission processing speeds, and for predicting a transmission processing speed of transmission data from received data obtained by receiving the transmission data including the digital data and the repeated data, said transmission speed predicting method comprising the steps of:

producing first decision data including polarity data of each bit of the received data by processing the received data;
storing the first decision data;
reading the first decision data which has been stored at each of the plurality of transmission processing speeds and comparing polarity data corresponding to each bit data of the digital data in the received data with polarity data corresponding to the repeated data based on each bit data and detecting a first incoincident number using a result of the comparison, and selecting a most likely polarity data from the polarity data corresponding to each bit data of the digital data and the polarity data corresponding to the repeated data and producing second decision data using the selected most likely polarity data;
Viterbi-decoding the second decision data for each of the plurality of transmission processing speeds to produce decoded data, and detecting a most likelihood pathmetric value;
comparing polarity data of coded data obtained by convolution-coding the corresponding decoded data with polarity data of the second decision data for each of the plurality of transmission processing speeds and detecting a second incoincident number using a result of the comparison;
and
selecting the transmission processing speed of the transmission data corresponding to the received data based upon the first incoincident number, the most likelihood pathmetric value, and the second incoincident number.

4 more elements

Dependencies are inferred from the claim text.