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 Learning sequence for estimating a transmission channel and corresponding estimator device

Details
Inventors: Mourot, Christophe; Wautier, Armelle; Dany, Jean-Claude;
Assignee: Alcatel N.V. (Amsterdam, NL)
Primary Examiner: Ramirez; Ellis B.
Assistant Examiner: Shah; Kamini
Attorney, Agent or Firm: Sughrue, Mion, Zinn, Macpeak & Seas

The present invention concerns a learning sequence for estimating a transmission channel and an estimator device adapted to use a sequence of this kind. The learning sequence for estimating a transmission channel of length L comprises a guard sequence of length L followed by a reference sequence of length N such that its total length N+L is greater than or equal to 2L+1 and such that the transmission matrix A associated with it defined by the product of the Hermitian transpose A.sup.H of the transmission matrix by the transmission matrix A is inversible.

DETAILED DESCRIPTION What is claimed is: 1.
A learning sequence of symbols for estimating a transmission characteristic of a transmission channel of length L on which said sequence is transmitted, said sequence comprising: a guard sequence of length L, and a reference sequence of length N following said guard sequence; wherein the learning sequence is selected to have a total length N+L greater than or equal to 2L+1; wherein the learning sequence is selected so that a transmission matrix A, associated with the learning sequence, is such that the product of the Hermitian transpose A.
sup.
H of the transmission matrix by the transmission matrix A is inversible; and wherein the length L is defined as the number of symbol periods equivalent to the difference between the longest and shortest transmission paths of the channel.
2.
Learning sequence according to claim 1 characterized in that the product of the Hermitian transpose A.
sup.
H of the transmission matrix by the transmission matrix A is a multiple of the identity matrix.
3.
Learning sequence according to claim 2 characterized in that said reference sequence is a constant amplitude zero auto-correlation (CAZAC) sequence.
4.
Learning sequence according to claim 3 characterized in that said CAZAC sequence is a polyphase sequence.
5.
Learning sequence according to claim 1 characterized in that said reference sequence is a constant amplitude zero auto-correlation sequence near the correlation peak (pseudo-CAZAC sequence).
6.
A device for estimating a transmission characteristic of a transmission channel of length L receiving at one end of said channel a training sequence corresponding to a learning sequence produced at the other end of the channel, wherein said learning sequence comprises a guard sequence of length L followed by a reference sequence of length N so that the learning sequence has a total length N+L greater than or equal to 2L+1 and so that a transmission matrix A associated with the learning sequence is such that a resulting matrix, which is the product of the Hermitian transpose A



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