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US6137824A Expired / Lapsed US ⏱️ 0.0 years remaining

Method for estimating signal and noise quality, and a receiver

Assignee: Nokia Oyj
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Filing: 1996-12-27
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Granted: 2000-10-24
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Expires: 2016-12-27
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Abstract

Abstract The invention relates to calculating an estimate representing noise and signal quality, and to a receiver of a radio system. The highest value of a correlation vector is compared either to the second highest value or to the mean value of the other values. If a specific spreading code is used in the reception of the signal, the comparison forms a ratio of the signal and disturbance, the ratio being applicable particularly to combining signals from the diversity branches of a diversity receiver, whereby the method makes it possible to combine the signals even prior to detection. If the reception employs a spreading code with which no signal received by the receiver has been transmitted, it is possible by comparing the correlation values to form a noise quality estimate, an estimate value higher of which meaning that the receiver is receiving a signal and not just noise.

Inventors

  • 👤 Qin Liu

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-11-09 14:08
CPC Classifications
H; H04; H04B; H04B1/00; H04B1/69; H04B1/707; H04B1/709

Claims Analysis

Total Claims: 27
Claim 1
Independent Claim 185 words
A method for estimating signal quality, the method being used in a spread spectrum radio system having several transmitters and receivers, and in which each transmitted signal is pseudonoise-coded by a separate spreading code into a wideband form and the signal being converted into modulation symbols having a vector form, said modulation symbols being submatrices of a substantially orthogonal known transform matrix, said submatrices being chosen on the basis of a combination of bits to be transmitted, the signal being multiplied by a spreading code in the receiver in which a correlation is formed between the received modulation symbols and the known transform matrix, the correlation forming correlation vectors which comprise correlation values and by means of which the signal is detected, wherein, when multiplying the received signal by a specific spreading code, an estimate representing the signal quality is formed by comparing the mean value of one or more correlation values of the correlation vector to the highest value of the correlation vector, in which the mean value of one or more correlation values comprises all other correlation values but the highest correlation value.
Claim 2
Independent Claim 185 words
A method for estimating signal quality, the method being used in a spread spectrum radio system having several transmitters and receivers, and in which each transmitted signal is pseudonoise-coded by a separate spreading code into a wideband form and the signal being converted into modulation symbols having a vector form, said modulation symbols being submatrices of a substantially orthogonal known transform matrix, said submatrices being chosen on the basis of a combination of bits to be transmitted, the signal being multiplied by a spreading code in the receiver in which a correlation is formed between the received modulation symbols and the known transform matrix, the correlation forming correlation vectors which comprise correlation values and by means of which the signal is detected, wherein, when multiplying the received signal by a specific spreading code, an estimate representing the signal quality is formed by comparing the mean value of one or more correlation values of the correlation vector to the highest value of the correlation vector, in which the mean value of one or more correlation values comprises all other correlation values but the highest correlation value.
Claim 3
Independent Claim 197 words
A method for estimating noise quality, the method being used in a spread spectrum radio system having several transmitters and receivers, and in which each transmitted signal is pseudonoise-coded by a separate spreading code into a wideband form and the signal being converted into modulation symbols having a vector form, said modulation symbols being submatrices of a substantially orthogonal known transform matrix, said submatrices being chosen on the basis of a combination of bits to be transmitted, the signal being multiplied by a spreading code in the receiver in which a correlation is formed between the received modulation symbols and the known transform matrix, the correlation forming correlation vectors which comprise correlation values and by means of which the signal is detected, wherein, when multiplying the received signal by a spreading code which is substantially orthogonal to the spreading codes of all the received signals, the estimate representing the noise quality is formed by comparing the mean value of one or more correlation values of the correlation vector to the highest value of the correlation vector, in which the mean value of one or more correlation values comprises all other correlation values but the highest correlation value.
Claim 4
Independent Claim 197 words
A method for estimating noise quality, the method being used in a spread spectrum radio system having several transmitters and receivers, and in which each transmitted signal is pseudonoise-coded by a separate spreading code into a wideband form and the signal being converted into modulation symbols having a vector form, said modulation symbols being submatrices of a substantially orthogonal known transform matrix, said submatrices being chosen on the basis of a combination of bits to be transmitted, the signal being multiplied by a spreading code in the receiver in which a correlation is formed between the received modulation symbols and the known transform matrix, the correlation forming correlation vectors which comprise correlation values and by means of which the signal is detected, wherein, when multiplying the received signal by a spreading code which is substantially orthogonal to the spreading codes of all the received signals, the estimate representing the noise quality is formed by comparing the mean value of one or more correlation values of the correlation vector to the highest value of the correlation vector, in which the mean value of one or more correlation values comprises all other correlation values but the highest correlation value.
Claim 5
Dependent Claim 29 words
A method as claimed in claim 2, wherein the mean value of two or more correlation values is formed by using any correlation values comprised by the correlation vector.
Claim 6
Dependent Claim 33 words
A method as claimed in claim 1 or 2, wherein the comparison takes place by comparing the second highest correlation value of the correlation vector to the highest value of the correlation vector.
Claim 7
Dependent Claim 36 words
A method as claimed in claim 1 or 2, wherein the comparison takes place by dividing the highest correlation value of the correlation vector by the mean value of all the correlation values but the highest.
Claim 8
Dependent Claim 34 words
A method as claimed in claim 5, wherein the comparison takes place by subtracting, from the highest value of the correlation vector, the mean value of all the other correlation values but the highest.
Claim 9
Dependent Claim 24 words
A method as claimed in claim 4, wherein the comparison takes place by dividing the second highest correlation value by the highest correlation value.
Claim 10
Dependent Claim 24 words
A method as claimed in claim 4, wherein the comparison takes place by subtracting the second highest correlation value from the highest correlation value.
Claim 11
Dependent Claim 25 words
A method as claimed in claim 1 or 2, wherein the estimate is formed as a mean value of several estimates of single correlation vectors.
Claim 12
Dependent Claim 35 words
A method as claimed in claim 9, wherein when signal transmission takes place in time-slots the estimate is formed as a mean value of all the correlation vector estimates comprised by at least one time-slot.
Claim 13
Dependent Claim 37 words
A method as claimed in claim 1, wherein when the receiver is a diversity receiver comprising several diversity branches, the estimate formed is used as a weighting coefficient in combining the signals of the different diversity branches.
Claim 14
Dependent Claim 181 words
A receiver of a spread spectrum radio system, the system comprising several transmitters and receivers, each transmitted signal in the system being pseudonoise coded by a separate spreading code into a wideband signal and the signal being converted into modulation symbols having a vector form, said modulation symbols being submatrices of a substantially orthogonal known transform matrix, said submatrices being chosen on the basis of a combination of bits to be transmitted, the signal being multiplied by a spreading code in the receiver which comprises a correlator for forming a correlation between the received modulation symbols and the known transform matrix, the correlation forming correlation vectors which comprise correlation values and by means of which the signal is detected, the receiver comprising: comparison means for forming an estimate representing signal quality, the comparison means being arranged to compare the mean value of one or more correlation values of a single correlation vector, with the exception of the highest value thereof, to the highest value of the correlation vector, and arranged to operate when multiplying the signal by a specific spreading code.
Claim 15
Dependent Claim 181 words
A receiver of a spread spectrum radio system, the system comprising several transmitters and receivers, each transmitted signal in the system being pseudonoise coded by a separate spreading code into a wideband signal and the signal being converted into modulation symbols having a vector form, said modulation symbols being submatrices of a substantially orthogonal known transform matrix, said submatrices being chosen on the basis of a combination of bits to be transmitted, the signal being multiplied by a spreading code in the receiver which comprises a correlator for forming a correlation between the received modulation symbols and the known transform matrix, the correlation forming correlation vectors which comprise correlation values and by means of which the signal is detected, the receiver comprising: comparison means for forming an estimate representing signal quality, the comparison means being arranged to compare the mean value of one or more correlation values of a single correlation vector, with the exception of the highest value thereof, to the highest value of the correlation vector, and arranged to operate when multiplying the signal by a specific spreading code.
Claim 16
Dependent Claim 190 words
A receiver of a spread spectrum radio system, the system comprising several transmitters and receivers, each transmitted signal in the system being pseudonoise-coded by a separate spreading code into a wideband signal and the signal being converted into modulation symbols having a vector form, said modulation symbols being submatrices of a substantially orthogonal known transform matrix, said submatrices being chosen on the basis of a combination of bits to be transmitted, the signal being multiplied by a spreading code in the receiver which comprises a correlator for forming a correlation between the received modulation symbols and the known transform matrix, the correlation forming correlation vectors which comprise correlation values and by means of which the signal is detected, the receiver comprising: comparison means for forming an estimate representing noise quality, the comparison means being arranged to compare the mean value of one or more correlation values of a single correlation vector, with the exception of the highest value thereof, to the highest value of the correlation vector, and arranged to operate when multiplying the signal by a spreading code substantially orthogonal to the spreading codes of all the received signals.
Claim 17
Dependent Claim 190 words
A receiver of a spread spectrum radio system, the system comprising several transmitters and receivers, each transmitted signal in the system being pseudonoise-coded by a separate spreading code into a wideband signal and the signal being converted into modulation symbols having a vector form, said modulation symbols being submatrices of a substantially orthogonal known transform matrix, said submatrices being chosen on the basis of a combination of bits to be transmitted, the signal being multiplied by a spreading code in the receiver which comprises a correlator for forming a correlation between the received modulation symbols and the known transform matrix, the correlation forming correlation vectors which comprise correlation values and by means of which the signal is detected, the receiver comprising: comparison means for forming an estimate representing noise quality, the comparison means being arranged to compare the mean value of one or more correlation values of a single correlation vector, with the exception of the highest value thereof, to the highest value of the correlation vector, and arranged to operate when multiplying the signal by a spreading code substantially orthogonal to the spreading codes of all the received signals.
Claim 18
Dependent Claim 25 words
A receiver as claimed in claim 12 or 13, wherein the receiver comprises a means for determining the highest correlation value of the correlation vector.
Claim 19
Dependent Claim 26 words
A receiver as claimed in claim 12 or 13, wherein the receiver comprises a means for determining the second highest correlation value of the correlation vector.
Claim 20
Dependent Claim 51 words
A receiver as claimed in claim 12 or 13, wherein the receiver comprises a means for calculating a mean value of one or more correlation values of the correlation vector, where the mean value of one or more correlation values comprises all the other correlation values but the highest correlation value.
Claim 21
Dependent Claim 38 words
A receiver as claimed in claim 12 or 13, wherein the comparison means comprised by the receiver is arranged to divide the second highest correlation value of the correlation vector by the highest value of the correlation vector.
Claim 22
Dependent Claim 38 words
A receiver as claimed in claim 12 or 13, wherein the comparison means comprised by the receiver is arranged to subtract the second highest correlation value of the correlation vector from the highest value of the correlation vector.
Claim 23
Dependent Claim 43 words
A receiver as claimed in claim 12 or 13, wherein the comparison means comprised by the receiver is arranged to divide the mean value of one or more correlation values of the correlation vector by the highest correlation value of the correlation vector.
Claim 24
Dependent Claim 43 words
A receiver as claimed in claim 12 or 13, wherein the comparison means comprised by the receiver is arranged to subtract the mean value of one or more correlation values of the correlation vector from the highest correlation value of the correlation vector.
Claim 25
Dependent Claim 37 words
A receiver as claimed in claim 16, wherein the means for calculating the mean value of the correlation values is arranged to form a mean value from any two or more correlation values of the correlation vector.
Claim 26
Dependent Claim 31 words
A receiver as claimed in claim 12 or 13, wherein when the transmission comprises time-slots the comparison means is arranged to use all the correlation vectors of at least one time-slot.
Claim 27
Dependent Claim 32 words
A receiver as claimed in claim 12, wherein the receiver is a diversity receiver which is arranged to use the estimate formed as a weighting coefficient in combining the diversity branch signals.

References Cited (Backward Citations)

US5325394A Cited
US5881099A Cited
US5684793A Cited
WO1995008876A1 Cited
US5440597A Cited
US5768307A Cited

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2003-10-24 2004-04-24 2004-10-24 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2007-10-24 2008-04-24 2008-10-24 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2011-10-24 2012-04-24 2012-10-24 $7700.00 Window Closed / Lapsed

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