WO2005055456A1 - Method and apparatus of noise variance estimation for use in wireless communication systems - Google Patents
Method and apparatus of noise variance estimation for use in wireless communication systems Download PDFInfo
- Publication number
- WO2005055456A1 WO2005055456A1 PCT/IB2004/052631 IB2004052631W WO2005055456A1 WO 2005055456 A1 WO2005055456 A1 WO 2005055456A1 IB 2004052631 W IB2004052631 W IB 2004052631W WO 2005055456 A1 WO2005055456 A1 WO 2005055456A1
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- WIPO (PCT)
- Prior art keywords
- signal vector
- noise
- vector
- impulse response
- training sequence
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
- H04B1/707—Spread spectrum techniques using direct sequence modulation
- H04B1/7097—Interference-related aspects
- H04B1/711—Interference-related aspects the interference being multi-path interference
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
- H04B1/707—Spread spectrum techniques using direct sequence modulation
- H04B1/7097—Interference-related aspects
- H04B1/7103—Interference-related aspects the interference being multiple access interference
- H04B1/7105—Joint detection techniques, e.g. linear detectors
- H04B1/71057—Joint detection techniques, e.g. linear detectors using maximum-likelihood sequence estimation [MLSE]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/06—Receivers
- H04B1/10—Means associated with receiver for limiting or suppressing noise or interference
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
- H04B1/707—Spread spectrum techniques using direct sequence modulation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
- H04B1/707—Spread spectrum techniques using direct sequence modulation
- H04B1/7097—Interference-related aspects
- H04B1/711—Interference-related aspects the interference being multi-path interference
- H04B1/7115—Constructive combining of multi-path signals, i.e. RAKE receivers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
Definitions
- the present invention relates generally to a method and apparatus of noise variance estimation for use in wireless communication systems, a nd more particularly, to a method and apparatus of noise variance estimation by exploiting the training sequence.
- CDMA Code Division Multiple Access
- FDMA Frequency Di vision Multiple Access
- TDMA Time Division Multiple Access
- different UEs user equipments
- signals spread by different UEs with different spreading codes ca n be transferred on the same frequency band.
- a CDMA downlink transmission model is put forward in the paper entitled “Data Detection Algorithms Specially Designed For The Downlink of CDMA Mobile Radio Systems", VTC, 1997, by A. Klein, as shown in Fig.1.
- Equation (1) indicates that the received signal vector e d ( ⁇ ) contains UEk's desired signal vector d°° , as well as signal vectors sent to other UEs by the base station and the noise vector.
- noise estimation methods in which noise variance is computed by convolving the training sequence. These noise estimation methods can meet the precision requirement of 2G wireless communication systems. But in 3G wireless communication systems, more accurate noise variance is needed for signal reception, for example, the key technologies of multiuser detection and turbo -code both have high requirement for accurate noise variance. Current noise estimation methods can 't satisfy the precision requirement for noise variance of 3G wireless communication systems.
- An object of the present invention is to provide a method and apparatus of noise variance estimation for use in wireless communication systems, in which the training sequence is exploited to compute noise variance to obtain more accurate noise variance.
- a method of noise variance estimation is proposed in the present invention for use in wireless communication systems, comprising steps of: receiving a signal vector containing training sequence and noise vector transmitted via at least one propagation path f rom the base station; estimating, according to the signal vector, the channel impulse response of each propagation path to construct a channel impulse response matrix; calculating the noise variance of the signal vector according to the channel impulse response matrix and the signal vector if the channel impulse response remains primarily unchanged during the special time duration of the training sequence.
- Fig.1 illustrates conventional CDMA downlink transmission model
- Fig.2 is a flow chart illustrating the noise variance estimation method in the present invention
- Fig.3 is a block diagram illustrating the UE equipped with the noise variance estimation apparatus in an embodiment of the present invention
- Fig.4 is a block diagram illustrating the noise variance estimation apparatus in an embodiment of the present invention.
- TD-SCDMA Detailed Description of the Invention
- the base station transmits signal vector to each UE in corresponding timeslot.
- the signal vector sent to each UE by the base station in corresponding timeslot is composed of the training sequence and the s pread user signal.
- the base station first combines the signal vectors to be transmitted to each UE into a combined signal vector, and then transmits this combined signal vector in the timeslot to each UE.
- Said combined signal vector is also composed of user signal and training sequence, wherein the user signal in the combined signal vector is obtained by combining the spread user signal in the signal vector to be transmitted to each UE, and the training sequence in the combined signal vector is obtained by combing the training sequence in the signal vector to be transmitted to each UE.
- the training sequence allocated to each UE in a cell is obtained through performing different shift operation on the sam e basic training sequence, so the training sequence of the combined signal vector can be considered as the basic training sequence.
- Each UE has acquired the basic training sequence used by its cell during cell search procedure, so the training sequence sent by the base station in the timeslot is known beforehand to each UE. Let's suppose that the training sequence included in the signal vector sent by the base station in a timeslot reaches a UE through at least one propagation path, the signal vector receiv ed by the UE in the timeslot is r, composed of said training sequence and noise vector n, and the known value of said training sequence is s.
- H the CIR matrix constructed by the CIR of each propagation path between the UE and the base station.
- the maximum likelihood estimated value s of the training sequence included in signal vector r can be expressed as fol lows: wherein superscript H represents complex conjugate transposition.
- ⁇ 2 (n 'H n ' ) I trace ⁇ ( H ⁇ H ) - 1 ⁇ ( 7 )
- ⁇ 2 (n 'H n ' ) I trace ⁇ ( H ⁇ H ) - 1 ⁇ ( 7 )
- the UE receives a signal vector containing training sequence and noise vector in a timeslot transferred through at least one propagation path from the base station (step S10).
- the UE estimates the CIR of each propagation path according to the received signal vector, and constructs a CIR matrix H by using the estimated CIR of each propagation path (step S20).
- the UE estimates the maximum likelihood es timated value s of the training sequence included in said signal vector using equation (3), according to said signal vector and said CIR matrix (step S30).
- the UE computes the estimated value n ' of the noise vector contained in said signal vector by using equation (4), according to the MLE (maximum likelihood estimate) value s of the training sequence included in said signal vector and the known value of the training sequence (step S40).
- the known value of the training sequence contained in said signal vector is acquired by the UE in cell search procedure.
- the UE computes the noise variance ⁇ 2 of said signal vector by using equation (7), according to the estimated value n ' of the noise vector contained in said signal vector and said CIR matrix H (step S50).
- the UE sums and averages the noise variance ⁇ 2 calculated from equation (7) in the timeslot and the noise variance ⁇ 2 calculated from equation (7) in each previous timeslot, and takes the mean of different ⁇ 2 as the noise variance ⁇ 2 of signal vector r in the timeslot (step S60).
- Fig.3 is a block diagram illustrating the UE equipped with the proposed noise variance estimation apparatus.
- cell searching means 40 acquires the basic training sequence s used by the cell where the UE is camping.
- the antenna of the UE first sends the sign al vector Rx received in a timeslot to multiplier 10, and multiplier 10 multiplies the received signal vector Rx by the
- ADC 30 converts the baseband signal vecto r outputted from multiplier 10 into digital baseband signal vector r.
- cell searching means 40 synchronizes the digital baseband signal vector r outputted from ADC 30, and channel estimating means 50 computes the CIR of each propagation channel for the synchronized digital baseband signal vector r by using conventional channel estimation methods, and constructs CIR matrix with the computed CIR of each propagation path.
- noise variance estimating means 60 computes the noise variance of the di gital baseband signal vector r according to the CIR matrix computed by channel estimating means 50, the digital baseband signal vector r outputted by ADC 30 and the basic training sequence s acquired by cell searching means 40.
- data detecting mean s 70 acquires the desired user signal from the digital baseband signal vector r according to the noise variance computed by noise variance estimating means 60, by using conventional data detection methods, such as multiuser detection method, turbo -code decoding and etc.
- Fig.4 is a block diagram illustrating noise variance estimating means 60. Referring to Fig.4, noise variance estimating means 60 comprises: equalizing means 601 , for estimating the MLE value s of the training sequence contained in said digital baseband signal vector r according to the
Abstract
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Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2006542102A JP2007513564A (en) | 2003-12-05 | 2004-12-02 | Method and apparatus for noise variance estimation for use in a wireless communication system |
US10/588,252 US20070127355A1 (en) | 2003-12-05 | 2004-12-02 | Method and apparatus of noise variance estimation for use in wireless communication systems |
EP04801439A EP1712012A1 (en) | 2003-12-05 | 2004-12-02 | Method and apparatus of noise variance estimation for use in wireless communication systems |
Applications Claiming Priority (2)
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CNA2003101197841A CN1625075A (en) | 2003-12-05 | 2003-12-05 | Noise variance estionating method and device for radio communication system |
CN200310119784.1 | 2003-12-05 |
Publications (1)
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WO2005055456A1 true WO2005055456A1 (en) | 2005-06-16 |
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EP (1) | EP1712012A1 (en) |
JP (1) | JP2007513564A (en) |
KR (1) | KR20060123263A (en) |
CN (2) | CN1625075A (en) |
WO (1) | WO2005055456A1 (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2007051206A3 (en) * | 2005-10-28 | 2007-10-25 | Qualcomm Inc | Method and apparatus for channel and noise estimation |
EP1917744A2 (en) * | 2005-09-19 | 2008-05-07 | Nokia Corporation | Detecting presence/absence of an information signal |
EP2052508A1 (en) * | 2006-08-01 | 2009-04-29 | TTPCOM Limited | Signal evaluation and adjustment |
WO2009118700A1 (en) * | 2008-03-26 | 2009-10-01 | Nxp B.V. | System and method for high performance finite-sample-based noise variance estimation for td-scdma |
JP2009538054A (en) * | 2006-05-15 | 2009-10-29 | クゥアルコム・インコーポレイテッド | System and method for calculating noise fluctuations |
US8107566B2 (en) | 2006-04-17 | 2012-01-31 | Qualcomm Incorporated | Noise estimation for wireless communication |
Families Citing this family (5)
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CN101174854B (en) * | 2007-12-06 | 2011-07-06 | 华为技术有限公司 | Noise estimation method and device thereof |
JP5206251B2 (en) * | 2008-09-05 | 2013-06-12 | 株式会社ニコン | Use object recommendation device, use object recommendation method and program |
KR101152808B1 (en) * | 2010-03-16 | 2012-06-12 | 서강대학교산학협력단 | Method for estimating noise variance and receiver thereof |
CN114268352B (en) * | 2022-03-01 | 2022-05-20 | 四川创智联恒科技有限公司 | Detection method of NR uplink control channel format 1 |
CN115560795B (en) * | 2022-12-02 | 2023-07-04 | 小米汽车科技有限公司 | Air duct blocking detection method and device suitable for charging equipment |
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US20030198303A1 (en) * | 2002-04-16 | 2003-10-23 | Taylor Matthew A. | Parameter estimator for a multiuser detection receiver |
-
2003
- 2003-12-05 CN CNA2003101197841A patent/CN1625075A/en active Pending
-
2004
- 2004-12-02 KR KR1020067011078A patent/KR20060123263A/en not_active Application Discontinuation
- 2004-12-02 WO PCT/IB2004/052631 patent/WO2005055456A1/en not_active Application Discontinuation
- 2004-12-02 EP EP04801439A patent/EP1712012A1/en not_active Withdrawn
- 2004-12-02 CN CNA2004800360675A patent/CN1890891A/en active Pending
- 2004-12-02 JP JP2006542102A patent/JP2007513564A/en not_active Withdrawn
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WO2000005847A1 (en) * | 1998-07-21 | 2000-02-03 | Nokia Networks Oy | Channel impulse response estimation using received signal variance |
US20020110199A1 (en) * | 1999-05-17 | 2002-08-15 | Aki Happonen | Method for noise energy estimation in TDMA systems |
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Non-Patent Citations (5)
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1917744A2 (en) * | 2005-09-19 | 2008-05-07 | Nokia Corporation | Detecting presence/absence of an information signal |
EP1917744A4 (en) * | 2005-09-19 | 2012-04-25 | Core Wireless Licensing Sarl | Detecting presence/absence of an information signal |
JP2013225859A (en) * | 2005-09-19 | 2013-10-31 | Core Wireless Licensing S A R L | Detecting presence/absence of information signal |
WO2007051206A3 (en) * | 2005-10-28 | 2007-10-25 | Qualcomm Inc | Method and apparatus for channel and noise estimation |
US8265209B2 (en) | 2005-10-28 | 2012-09-11 | Qualcomm Incorporated | Method and apparatus for channel and noise estimation |
US8634505B2 (en) | 2005-10-28 | 2014-01-21 | Qualcomm Incorporated | Method and apparatus for channel and noise estimation |
US8107566B2 (en) | 2006-04-17 | 2012-01-31 | Qualcomm Incorporated | Noise estimation for wireless communication |
US8477891B2 (en) | 2006-04-17 | 2013-07-02 | Qualcomm Incorporated | Noise estimation for wireless communication |
JP2009538054A (en) * | 2006-05-15 | 2009-10-29 | クゥアルコム・インコーポレイテッド | System and method for calculating noise fluctuations |
EP2052508A1 (en) * | 2006-08-01 | 2009-04-29 | TTPCOM Limited | Signal evaluation and adjustment |
WO2009118700A1 (en) * | 2008-03-26 | 2009-10-01 | Nxp B.V. | System and method for high performance finite-sample-based noise variance estimation for td-scdma |
Also Published As
Publication number | Publication date |
---|---|
CN1890891A (en) | 2007-01-03 |
CN1625075A (en) | 2005-06-08 |
EP1712012A1 (en) | 2006-10-18 |
JP2007513564A (en) | 2007-05-24 |
KR20060123263A (en) | 2006-12-01 |
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