CN101136883A - Amplification forwarding cooperation treatment based broadband wireless sensing network channel estimation method - Google Patents

Amplification forwarding cooperation treatment based broadband wireless sensing network channel estimation method Download PDF

Info

Publication number
CN101136883A
CN101136883A CNA200710045110XA CN200710045110A CN101136883A CN 101136883 A CN101136883 A CN 101136883A CN A200710045110X A CNA200710045110X A CN A200710045110XA CN 200710045110 A CN200710045110 A CN 200710045110A CN 101136883 A CN101136883 A CN 101136883A
Authority
CN
China
Prior art keywords
relay
broadband wireless
channel
power
channel estimation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CNA200710045110XA
Other languages
Chinese (zh)
Other versions
CN101136883B (en
Inventor
严凯
丁盛
邱云周
姜建
朱明华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiaxing Wireless Sensor Network Engineering Center, Chinese Academy of Sciences
Original Assignee
Microsystem Branch of Jiaxing Center of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsystem Branch of Jiaxing Center of CAS filed Critical Microsystem Branch of Jiaxing Center of CAS
Priority to CN200710045110XA priority Critical patent/CN101136883B/en
Publication of CN101136883A publication Critical patent/CN101136883A/en
Application granted granted Critical
Publication of CN101136883B publication Critical patent/CN101136883B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Mobile Radio Communication Systems (AREA)

Abstract

The method includes steps: transmitting end (TE) determines length value of Chu sequence as training sequence; estimating out noise power at each relay end and receiving end, and determining maximal number of nonzero tap in time domain response of channel between nodes, and determining power distribution coefficient (PDC) of each node; after determining value of length and PDC, and selecting corresponding Chu sequence and adding circular prefix (CP), TE carries out transmission at first time slot (TS); after receiving signal, each relay end carries out linear processing on the received signal based on PDC and unitary matrix, and then adds CP, and transmits them in second TS; the receiving end receives signals at first TS and second TS, and unites the received signals with CP being removed, further, carries out channel estimation (CE) by minimum mean-square value. Thus, the invention realizes CE in high precision and low complexity in cooperation comm containing multiple relay nodes.

Description

Broadband wireless sensing network channel estimation method based on the amplification forward collaboration processing
Technical field
The present invention relates to the wireless messages transmission field, particularly a kind of broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration.
Background technology
Multiple-input and multiple-output (MIMO) technology is meant the technology that all adopts many antennas at transmitting terminal and receiving terminal, and it can significantly improve the quality of capability of communication system and wireless transmission link, thereby it has become a research focus in the wireless communication field.Yet owing to be subjected to terminal equipment price, and the influence of factors such as volume, the many antennas of configuration not too gear to actual circumstances on the node of wireless sensor network.In order to address this problem, these two notions of collaboration communication and virtual multi-antenna are arisen at the historic moment.
The collaboration communication technology is a kind of method with distributed form developing space diversity.Utilize the wireless signal characteristics that energy is received by via node on every side in the process that is transmitted, can communicate information to receiving terminal with cooperating as the transmitting terminal of information source node, thereby reach the purpose of space diversity as the transmitting terminal of via node as information destination node.So, can make the shared antenna each other of each a single aerial system form virtual multi-antenna by certain agreement and come cooperation transmission information, thereby can improve systematic function effectively.And according to the transmitting terminal mode of operation to received signal as via node, the cooperation scheme can be divided into amplifying transmits (amplify-and-forward, AF), decipher forwarding etc., wherein the AF scheme is because its complexity is lower, and only need via node to transmit the signal of handling through linearity simply and do not need to decode, therefore be subjected to people more and pay close attention to.
Along with people to the broadband demand of communicating by letter, wireless communication system is just developed rapidly to the broadband by the arrowband.System of broadband wireless communication will face the frequency selectivity multipath channel.At present, OFDM (OFDM) and single-carrier wave frequency domain equalization technology (SC-FDE) are two kinds and tackle the simple and effective means of multipath fading.The two intersymbol interference by avoiding effectively to Frame interpolation Cyclic Prefix causing by multipath fading.Thus, these two kinds of technology are incorporated into to tackle multipath fading in the wireless sensor network be a very important research topic.
And for the wireless sensor network that has adopted orthogonal frequency division multiplexi or single-carrier wave frequency domain equalization technology, it need be estimated channel parameter when channel equalization and the input as the receiving terminal of information destination node.A kind of method commonly used is the head insertion training sequence at a Frame, utilizes these training sequences to carry out channel estimating at receiving terminal.The prior art scheme only is applicable to single via node collaboration communication situation, and in actual applications many via nodes collaboration communication because the more space diversity gain can be provided, make it use more general than single via node, therefore, how to solve existing problem and become the problem that those skilled in the art need to be resolved hurrily in fact with broadband wireless sensor network existence of many via nodes collaboration communication.
Summary of the invention
The object of the present invention is to provide a kind of broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration, to be implemented in the high accuracy in the wireless sensor network with many via nodes collaboration communication, the channel estimating of low complex degree.
In order to achieve the above object, the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration provided by the invention, it comprises step: 1) in a broadband wireless sensor network, determine Chu sequence length value as the transmitting terminal of information source node, and estimate in the described broadband wireless sensor network as each relay of via node with as the noise power of the receiving terminal of information destination node and determine the maximum non-zero tap number of channel time domain response between each node as training sequence; 2) determine the power partition coefficient of described transmitting terminal and each relay according to the noise power of length value, maximum non-zero tap number and the estimation determined, so that the summation of each power partition coefficient of determining is 2, all square evaluated error minimum of the channel of while under the power partition coefficient condition of determining; 3) described transmitting terminal selects corresponding C hu sequence as time-domain training sequence according to length value of determining and power partition coefficient, and add Cyclic Prefix in described time-domain training sequence to form source signal, more described source signal is launched at first time slot; 4) unitary matrice that adopted is separately determined according to determined length value and maximum non-zero tap number in each relay, and determines separately power normalization coefficient according to the power partition coefficient of estimated noise power and described transmitting terminal; 5) after each relay receives the source signal of described transmitting terminal emission at described first time slot, its Cyclic Prefix is removed, and according to the unitary matrice that is adopted separately and determined power normalization coefficient and power partition coefficient separately, the source signal that receives is carried out linear transformation, again the signal after the linear transformation is added new Cyclic Prefix to form each repeating signal, each relay is launched the repeating signal of each self-forming respectively at second time slot; 6) in described broadband wireless sensor network, respectively in first time slot and the second time slot received signal, and merge to obtain received signal after the source signal that receives and repeating signal removed Cyclic Prefix respectively as the receiving terminal of information destination node; 7) described receiving terminal carries out the least square channel estimating to obtain corresponding each channel parameter with described received signal.
Wherein, in step 2) in, the mean square error minimum of channel estimating is and makes
MSE = σ 2 ( ( 2 L - 1 ) × ( N - 1 ) + 1 ) ( 2 + Σ i = 2 N P i P 1 + σ 2 ) ( L P 1 K + Σ i = 2 N 2 L - 1 P i P 1 α 2 K ) Minimum, wherein, MSE is the channel estimating mean square error, σ 2Be noise variance, L is the maximum non-zero tap number of channel time domain response between each node, P iBe the power partition coefficient of i relay, P 1Be the power partition coefficient of transmitting terminal, K is a length value, and N-l is the via node number, α = 1 P 1 + σ 2 .
In step 3), selected Chu sequence is:
Figure A20071004511000053
Wherein, K is the sequence number of time-domain training sequence, and i is the integer relatively prime with K.
In step 4), i the unitary matrice N that adopt the relay iFor with n iK * the K that is first column element ties up circular matrix, wherein n iFor being 1 with (2L-1) * (i-2)+L+1 element, other elements are K * 1 dimensional vector of 0, and the power normalization coefficient that each relay is determined is 1 P 1 + σ 2 .
Preferable, in described step 2) in, the power partition coefficient of determined each relay equates that described broadband wireless sensor network can be the virtual multi-antenna system that adopts orthogonal frequency division multiplexi or single-carrier wave frequency domain equalization technology.
In sum, the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration of the present invention is at many via nodes collaboration communication scene, least square channel estimation methods based on the optimal training sequence scheme is proposed under a kind of frequency-selective channel in the AF collaboration communication, can be applicable to multinode AF scene effectively, and precision height, complexity is low, has very strong practicality.
Description of drawings
Fig. 1 is the broadband wireless sensing network channel estimation method operating process schematic diagram of handling based on amplification forward collaboration of the present invention.
Fig. 2 is for adopting the communication system signal transfer process schematic diagram of the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration of the present invention.
Fig. 3 is for adopting the communication system architecture schematic diagram of the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration of the present invention.
Fig. 4 compares schematic diagram for employing is of the present invention based on amplification forward collaboration broadband wireless sensing network channel estimation method of handling and the channel estimating mean square error that adopts existing training sequence method at random.
Fig. 5 is for adopting broadband wireless sensing network channel estimation method and the existing system BER performance schematic diagram of handling based on amplification forward collaboration of training sequence method at random of employing of the present invention.
Embodiment
See also Fig. 1, the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration of the present invention mainly may further comprise the steps:
The first step: in a broadband wireless sensor network, as the definite Chu sequence length value of the transmitting terminal of information source node as training sequence, and estimate in the described broadband wireless sensor network as each relay of via node with as the noise power of the receiving terminal of information destination node and determine the maximum non-zero tap number of channel time domain response between each node, in the present embodiment, described broadband wireless sensor network can be the virtual multi-antenna system that adopts orthogonal frequency division multiplexi or single-carrier wave frequency domain equalization technology antagonism multipath fading.In addition, a maximum non-zero tap number average of channel time domain response can be decided according to system parameter setting and applied environment between the noise power of each relay and receiving terminal and each node, and estimates that specifically implementation method all is a prior art, so do not repeat them here.
Second step: the power partition coefficient of determining described transmitting terminal and each relay according to the noise power of length value, maximum non-zero tap number and the estimation determined, so that the summation of each power partition coefficient of determining is 2, the estimation mean square error minimum of the channel of while under the power partition coefficient condition of determining.For the broadband wireless sensor network, all square evaluated error of its channel is: MSE = σ 2 ( ( 2 L - 1 ) × ( N - 1 ) + L ) ( 2 + Σ i = 2 N P i P 1 + σ 2 ) ( L P 1 K + Σ i = 2 N 2 L - 1 P i P 1 α 2 K ) Wherein, MSE is the channel estimating mean square error, σ 2Be noise variance, L is the maximum non-zero tap number of channel time domain response between each node, p 1Be the power partition coefficient of i relay, p 1Be the power partition coefficient of transmitting terminal, K is a length value, and N-1 is the via node number, α = 1 P 1 + σ 2 , Therefore, when the power partition coefficient of determining, can adopt following method:
1, at first make the power partition coefficient of each relay equate, i.e. p 2=p 3=p NWherein, N-1 is the number of relay.
2, adopt different p again 1And p 2Calculate, finding out MSE is the p of all square evaluated error minimum value of channel correspondence 1And p 2Power partition coefficient as transmitting terminal and each relay.
The 3rd step: described transmitting terminal selects corresponding C hu sequence as time-domain training sequence according to length value of determining and power partition coefficient, and add Cyclic Prefix in described time-domain training sequence to form source signal, again described source signal is launched at first time slot, in the present embodiment, the selected Chu sequence of transmitting terminal is:
Figure A20071004511000073
Wherein, K is a length value, and k is the sequence number of time-domain training sequence, and i is the integer relatively prime with k.
The 4th step: each relay is according to determined length value and the definite unitary matrice that is adopted separately of non-zero tap number, and according to the definite power normalization coefficient separately of the power partition coefficient of estimated interchannel noise and described transmitting terminal, in the present embodiment, i unitary matrice N that adopt the relay iFor with n 1K * the K that is first column element ties up circular matrix, wherein n iFor being 1 with (2L-1) * (i-2)+L+1 element, other elements are K * 1 dimensional vector of 0, and the power normalization coefficient that each relay is determined is 1 p 1 + σ 2 .
The 5th step: after each relay receives the source signal of described transmitting terminal emission at described first time slot, its Cyclic Prefix is removed, and according to the unitary matrice that is adopted separately and determined power normalization coefficient and power partition coefficient separately, the source signal that receives is carried out linear transformation, again the signal after the linear transformation is added new Cyclic Prefix to form each repeating signal, each relay is launched the repeating signal of each self-forming respectively at second time slot, in the present embodiment, i, i ∈ (2,, N) Cyclic Prefix is removed to the signal that first time slot receives in individual relay, multiply by the unitary matrice N that it adopts i, multiply by the power normalization factor α = 1 P 1 + σ 2 With power partition coefficient P i, obtain corresponding time-domain training sequence S ri = N i S P 1 P i α , And then the new Cyclic Prefix of interpolation forms i repeating signal on described time-domain training sequence, and launched at second time slot.
The 6th step: in described broadband wireless sensor network, as the receiving terminal of information destination node respectively in first time slot and the second time slot received signal, and merge to obtain received signal after the source signal that receives and repeating signal removed Cyclic Prefix respectively, see also Fig. 2, information source node s by with each via node r 2R nCooperation is sent to information destination node d with information, and the signal that receiving terminal receives two time slots is removed respectively to merge behind the Cyclic Prefix and obtained received signal and be:
r=Sh+n
Wherein, S=[S 1S 2S n]; h = [ h sd T h sr 2 T ⊗ h r 2 d T . . . h srN T ⊗ h rNd T ] T , (.) T, (.) *, (.) H(.) -1Represent vector or transpose of a matrix, conjugation, conjugate transpose and contrary respectively successively,
Figure A20071004511000084
The expression convolution algorithm; E[.] average of expression stochastic variable; S 1For with
Figure A20071004511000085
Be first column element K * on tie up circular matrix, s 1(i=2 ..., be N) with S RiIt is the dimension of K * (2L-1) circular matrix of first column element; L is the non-zero tap number of channel time domain response between each node; L * l dimensional vector h Sd, h Sri, h Rid(i=2 ..., N) the time domain tap coefficient of quasistatic multipath channel between the representation node; N represents the noise among the combined signal r.The 7th step: receiving terminal carries out the least square channel estimating to obtain corresponding each channel parameter with described received signal, and promptly described receiving terminal utilization merging obtains received signal r and carries out the least square channel estimating: h ^ = ( S H S ) - 1 S H r , The channel estimating of the quadratic sum minimum of error just, the channel parameter that needs in the time of can estimating channel equalization and input thus.
See also Fig. 3, it is for adopting the block diagram of the formed multinode AF of the broadband wireless sensing network channel estimation method wireless sensor network of handling based on amplification forward collaboration of the present invention, described multinode AF wireless sensor network has an information source node, a N-1 via node, reaches an information destination node, each node has only an antenna, and transceive data simultaneously, each module effect is as follows among Fig. 3:
Information source module A: the character data that generation will be transmitted.
Signal processing module B: if system adopts the OFDM technology, then B is the signal processing module that contains the IFFT computing.If system adopts the SC-FDE technology, then this module is empty.
Add CP module C: every frame data that will obtain add Cyclic Prefix.
Digital-to-analogue conversion (D/A) module D: digital signal conversion is become analog signal.
Channel module E1: the wireless multipath channel between information source node and information destination node.
Channel module E2～EN: the wireless multipath channel between an information source node and N-1 via node.
Analog-to-digital conversion (A/D) module F2～FN: analog signal is transformed into digital signal.
Remove CP module G2～GN: Cyclic Prefix is removed.
Linear process module H2～HN: via node is done the corresponding linear processing to receiving data.
Add CP module I 2～IN: every frame data that will obtain add Cyclic Prefix.
D/A module J 2～JN: digital signal conversion is become analog signal.
Wireless multipath channel between channel module K2～KN:N-1 via node and information destination node.
A/D module L: analog signal is transformed into digital signal.
Remove CP module M: Cyclic Prefix is removed.
Signal processing module N: if system adopts the OFDM technology, then N is the signal processing module that contains FFT computing and decision process.If system adopts the SC-FDE technology, then N is for containing the FFT computing, equilibrium, and the signal processing module of IFFT computing and decision process, wherein equilibrium can be selected zero forcing equalization, modes such as least mean-square error equilibrium.
Stay of two nights module 0: output judgement symbol.
Below will further specify the systematic function of the communication system that adopts the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration of the present invention by emulation.The system parameters of emulation is set as:
1 information source node of ■, 3 via nodes, 1 information destination node
■ data sampling period T s is made as 4 * 10 -7s
The ■ system adopts OFDM technical antagonism multipath fading
The total carrier number K of each OFDM symbol of ■ is 128
■ circulating prefix-length L is made as 16
It is that 128 Chu sequence is as time-domain training sequence that the ■ information source node is selected length
Each via node unitary matrice N of ■ i, i ∈ (2 ..., 4) and be with n iBe 128 * 128 dimension circular matrix, wherein n of first column element i
For being 1 with the 31st * (i-2)+17 elements, other elements are 0 128 * 1 dimensional vectors
The power division of ■ training sequence is: p 1=0.9042, p 2=p 3=p 4=0.3653
The ■ Frame adopts 4 yuan of quadrature amplitude modulation (4-QAM) modulation, not coding
Channel adopts COST 207 typical urban 6 footpath channel models between each node of ■
See also Fig. 4, it is to adopt channel estimation methods of the present invention and adopt the channel estimating mean square error (MSE) of existing training sequence method at random to compare schematic diagram, and provided the MSE lower bound, training sequence is higher at random than existing to adopt precision of channel estimation that channel estimation methods of the present invention carries out as can be seen from Figure, and method of the present invention is optimum on the meaning of channel estimating mean square error minimum.See also Fig. 5 again, it is for adopting channel estimation methods of the present invention and adopting the existing error rate of system of training sequence method (BER) performance schematic diagram at random, as can be seen from the figure, adopt channel estimation methods of the present invention, system BER performance will obviously be better than training sequence method at random.
In sum, the broadband wireless sensing network channel estimation method of processing based on amplification forward collaboration of the present invention compared with prior art, it has following advantage:
1, for many relay node cooperations communication scenes, provides under a kind of frequency-selective channel in the AF wireless sensor network Carry out the method for channel estimating based on the optimal training sequence scheme.
2, adopt Chu sequence with permanent width of cloth characteristic can avoid the non-linear distortion of transmitting terminal power amplifier as training sequence, And this sequence can be produced by Direct Digital Frequency Synthesizers.
3, the design of each via node unitary matrice can make information destination node estimate with quite low complexity realization least mean-square error channel Meter.
4, the power division of information source node and via node can make system's minimum channel in the certain situation of general power estimate all Side's error lower bound.
Beneficial effect of the present invention:
(1) training sequence design of the present invention is simple with channel estimation methods, and highly versatile, can be used for any via node The scene of number.
(2) training sequence of the present invention design has stronger robustness with channel estimation methods, can be along with channel condition slight Changing causes systematic function sharply to worsen.
(3) channel estimation methods of the present invention adopts least-squares algorithm, need not channel statistic, and complexity is low.
(4) training sequence of the present invention design and channel estimation methods reduce greatly with respect to training sequence computation schemes complexity at random, and can improve the error rate of system performance effectively, and be practical, is convenient to hardware and realizes.

Claims (6)

1. broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration is characterized in that comprising step:
1) in a broadband wireless sensor network, determine Chu sequence length value as the transmitting terminal of information source node, and estimate in the described broadband wireless sensor network as each relay of via node with as the noise power of the receiving terminal of information destination node and determine the maximum non-zero tap number of channel time domain response between each node as training sequence;
2) determine the power partition coefficient of described transmitting terminal and each relay according to the noise power of length value, maximum non-zero tap number and the estimation determined, so that the summation of each power partition coefficient of determining is 2, simultaneously in definite power partition coefficient condition lower channel estimated mean-square minimum;
3) described transmitting terminal selects corresponding C hu sequence as time-domain training sequence according to length value of determining and power partition coefficient, and add Cyclic Prefix in described time-domain training sequence to form source signal, more described source signal is launched at first time slot;
4) unitary matrice that adopted is separately determined according to determined length value and maximum non-zero tap number in each relay, and determines separately power normalization coefficient according to the power partition coefficient of estimated noise power and described transmitting terminal;
5) after each relay receives the source signal of described transmitting terminal emission at described first time slot, its Cyclic Prefix is removed, and according to the unitary matrice that is adopted separately, determined power normalization coefficient and power partition coefficient separately, the source signal that receives is carried out linear transformation, again the signal after the linear transformation is added new Cyclic Prefix to form each repeating signal, each relay is launched the repeating signal of each self-forming respectively at second time slot;
6) in described broadband wireless sensor network, respectively in first time slot and the second time slot received signal, and merge to obtain received signal after the source signal that receives and repeating signal removed Cyclic Prefix respectively as the receiving terminal of information destination node;
7) described receiving terminal carries out the least square channel estimating to obtain corresponding each channel parameter with described received signal.
2. as claimed in claim 1 based on amplifying the broadband wireless sensor network channel estimation method of transmitting processing, it is characterized in that: in step 2) in, the mean square error minimum of channel estimating is and makes MSE = σ 2 ( ( 2 L - 1 ) × ( N - 1 ) + L ) ( 2 + Σ i = 2 N p i p 1 + σ 2 ) ( L p 1 K + Σ i = 2 N 2 L - 1 p i p 1 α 2 K ) Minimum, wherein, MSE is the channel estimating mean square error, σ 2Be noise variance, L is the maximum non-zero tap number of channel time domain response between each node, p iBe the power partition coefficient of i relay, p 1Be the power partition coefficient of transmitting terminal, K is a length value, and N-1 is the via node number, α = 1 p 1 + σ 2 .
3. the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration as claimed in claim 2, it is characterized in that: in step 3), selected Chu sequence is:
Figure A2007100451100003C2
Wherein, k is the sequence number of time-domain training sequence, and l is the integer relatively prime with k.
4. the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration as claimed in claim 2 is characterized in that: in step 4), and i the unitary matrice N that adopt the relay iFor with n iK * the K that is first column element ties up circular matrix, wherein n iFor being 1 with (2L-1) * (i-2)+L+1 element, other elements are K * 1 dimensional vector of 0, and the power normalization coefficient that each relay is determined is
Figure A2007100451100003C3
5. the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration as claimed in claim 1 is characterized in that: in described step 2) in, the power partition coefficient of determined each relay equates.
6. the broadband wireless sensing network channel estimation method of handling based on amplification forward collaboration as claimed in claim 1 is characterized in that: described broadband wireless sensor network is for adopting the virtual multi-antenna system of orthogonal frequency division multiplexi or single-carrier wave frequency domain equalization technology.
CN200710045110XA 2007-08-21 2007-08-21 Amplification forwarding cooperation treatment based broadband wireless sensing network channel estimation method Expired - Fee Related CN101136883B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN200710045110XA CN101136883B (en) 2007-08-21 2007-08-21 Amplification forwarding cooperation treatment based broadband wireless sensing network channel estimation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN200710045110XA CN101136883B (en) 2007-08-21 2007-08-21 Amplification forwarding cooperation treatment based broadband wireless sensing network channel estimation method

Publications (2)

Publication Number Publication Date
CN101136883A true CN101136883A (en) 2008-03-05
CN101136883B CN101136883B (en) 2010-04-14

Family

ID=39160719

Family Applications (1)

Application Number Title Priority Date Filing Date
CN200710045110XA Expired - Fee Related CN101136883B (en) 2007-08-21 2007-08-21 Amplification forwarding cooperation treatment based broadband wireless sensing network channel estimation method

Country Status (1)

Country Link
CN (1) CN101136883B (en)

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101848524A (en) * 2010-03-23 2010-09-29 北京邮电大学 Method for relay selection and power distribution of wireless multi-relay cooperation transmission network
CN101951306A (en) * 2010-10-19 2011-01-19 北京理工大学 Multi-address cooperative communication method based on iteration detection and decoding principle
CN102137502A (en) * 2011-03-08 2011-07-27 北京邮电大学 User scheduling method of wireless bidirectional trunk network coding system
CN101854669B (en) * 2009-03-31 2012-10-10 上海交通大学 Method and equipment for determining cooperation degree between user equipments for cooperative communication
CN103037486A (en) * 2012-12-21 2013-04-10 南京大学 Energy-saving transmission scheme of opportunity relay system
CN103580809A (en) * 2013-11-22 2014-02-12 北京科技大学 Multi-hop cooperative transmission method based on multi-source distributed network
CN104052580A (en) * 2014-06-25 2014-09-17 西安交通大学 Multi-node collaborative signal transmitting and receiving method used in wireless sensor network
CN104753837A (en) * 2015-03-12 2015-07-01 西安电子科技大学 Optimal distribution method for data transmission power in orthogonal channel
CN104821864A (en) * 2015-04-24 2015-08-05 中国民用航空总局第二研究所 Cooperative communication method and target user end
CN108923830A (en) * 2018-06-07 2018-11-30 四川大学 Optimization method based on convex lower bound wireless power amplification forward pass relay system transceiver
CN109792426A (en) * 2016-09-30 2019-05-21 诺基亚技术有限公司 Idle loop prefix is set to be suitable for the method for frequency domain sky carrier wave communication system
CN109995683A (en) * 2017-12-29 2019-07-09 深圳超级数据链技术有限公司 A kind of half-blind channel estimating method and device
CN109995684A (en) * 2017-12-29 2019-07-09 深圳超级数据链技术有限公司 A kind of half-blind channel estimating method and device
CN111355675A (en) * 2020-03-11 2020-06-30 南京航空航天大学 Channel estimation enhancement method, device and system based on generation countermeasure network

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1398065A (en) * 2002-08-23 2003-02-19 清华大学 Method for increasing the estimation performance to carrier frequency deviation of OFDM communication system
CN1845537A (en) * 2005-04-08 2006-10-11 上海无线通信研究中心 Channel estimation method in communication system
US8130857B2 (en) * 2006-01-20 2012-03-06 Qualcomm Incorporated Method and apparatus for pilot multiplexing in a wireless communication system

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101854669B (en) * 2009-03-31 2012-10-10 上海交通大学 Method and equipment for determining cooperation degree between user equipments for cooperative communication
CN101848524B (en) * 2010-03-23 2012-11-21 北京邮电大学 Method for relay selection and power distribution of wireless multi-relay cooperation transmission network
CN101848524A (en) * 2010-03-23 2010-09-29 北京邮电大学 Method for relay selection and power distribution of wireless multi-relay cooperation transmission network
CN101951306A (en) * 2010-10-19 2011-01-19 北京理工大学 Multi-address cooperative communication method based on iteration detection and decoding principle
CN101951306B (en) * 2010-10-19 2013-02-13 北京理工大学 Multi-address cooperative communication method based on iteration detection and decoding principle
CN102137502A (en) * 2011-03-08 2011-07-27 北京邮电大学 User scheduling method of wireless bidirectional trunk network coding system
CN102137502B (en) * 2011-03-08 2013-06-19 北京邮电大学 User scheduling method of wireless bidirectional trunk network coding system
CN103037486A (en) * 2012-12-21 2013-04-10 南京大学 Energy-saving transmission scheme of opportunity relay system
CN103580809A (en) * 2013-11-22 2014-02-12 北京科技大学 Multi-hop cooperative transmission method based on multi-source distributed network
CN104052580B (en) * 2014-06-25 2017-08-01 西安交通大学 The transmitting of multi-node collaborative signal and method of reseptance in wireless sensor network
CN104052580A (en) * 2014-06-25 2014-09-17 西安交通大学 Multi-node collaborative signal transmitting and receiving method used in wireless sensor network
CN104753837A (en) * 2015-03-12 2015-07-01 西安电子科技大学 Optimal distribution method for data transmission power in orthogonal channel
CN104753837B (en) * 2015-03-12 2018-03-13 西安电子科技大学 The optimum allocation method of data transmission utilization measure in orthogonal channel
CN104821864A (en) * 2015-04-24 2015-08-05 中国民用航空总局第二研究所 Cooperative communication method and target user end
CN104821864B (en) * 2015-04-24 2018-07-24 中国民用航空总局第二研究所 A kind of collaboration communication method and target user end
CN109792426A (en) * 2016-09-30 2019-05-21 诺基亚技术有限公司 Idle loop prefix is set to be suitable for the method for frequency domain sky carrier wave communication system
CN109792426B (en) * 2016-09-30 2022-03-01 诺基亚技术有限公司 Method for adapting null cyclic prefix to frequency domain null single carrier communication system
CN109995683A (en) * 2017-12-29 2019-07-09 深圳超级数据链技术有限公司 A kind of half-blind channel estimating method and device
CN109995684A (en) * 2017-12-29 2019-07-09 深圳超级数据链技术有限公司 A kind of half-blind channel estimating method and device
CN109995684B (en) * 2017-12-29 2021-11-16 深圳市天凯利信息科技有限公司 Semi-blind channel estimation method and device
CN108923830A (en) * 2018-06-07 2018-11-30 四川大学 Optimization method based on convex lower bound wireless power amplification forward pass relay system transceiver
CN111355675A (en) * 2020-03-11 2020-06-30 南京航空航天大学 Channel estimation enhancement method, device and system based on generation countermeasure network

Also Published As

Publication number Publication date
CN101136883B (en) 2010-04-14

Similar Documents

Publication Publication Date Title
CN101136883B (en) Amplification forwarding cooperation treatment based broadband wireless sensing network channel estimation method
CN101237306B (en) Broadband wireless sensor network transmission scheme based on collaborative communication of amplification forward single node
CN1643867B (en) Device and method for estimating channels
CN101155156B (en) Channel estimation method and device and pilot frequency sequence generation method and device
CN103312652B (en) A kind of space-frequency coding SFBC MIMO-OFDM system based on F matrix carries out the method for selected mapping method SLM
CN104702390A (en) Pilot frequency distribution method in distributed compressive sensing (DCS) channel estimation
CN101242368A (en) Power distribution system and method in wireless sensor network based on collaborative transmission
CN101237472B (en) Wireless sensor network channel estimation method based on amplification forward collaboration transmission
CN110086743A (en) A kind of short burst MIMO-OFDM communication system and method based on differential encoding
CN101355543A (en) Method for estimating MIMO-SCFDE system channel based on quadrature training sequence
CN101083515A (en) Channel estimation method and apparatus for OFDM of transmission diversity
CN101197796B (en) Wireless sensor network channel evaluation method based on SC-FDE and virtual multi-antenna
Foster et al. Polynomial matrix QR decomposition for the decoding of frequency selective multiple-input multiple-output communication channels
CN101908949A (en) Wireless communication system as well as base station, relay station, user terminal and data sending and receiving methods thereof
Yan et al. A low-complexity LMMSE channel estimation method for OFDM-based cooperative diversity systems with multiple amplify-and-forward relays
CN101848178B (en) Single carrier frequency domain equalization method and system as well as sending and receiving device
Ogale et al. Performance evaluation of MIMO-OFDM system using Matlab® Simulink with real time image input
CN1816027B (en) Iterative channel estimation method in multi-antenna multi-carrier-wave wireless telecommunication system
CN101237304A (en) Asynchronous collaboration air time transmission system and method in broadband wireless sensor network
CN101141426B (en) Channel estimation method used for multi-user multi-aerial system
CN106850470B (en) A kind of channel estimation methods of Interference Cancellation based on affine precoding and two-way cooperation
CN101719816A (en) Method for realizing low feedback velocity of self-adaptive MIMO-SCFDE system
CN101494490B (en) Accidental distributed self-organizing communication method and system based on feedback
CN104052580A (en) Multi-node collaborative signal transmitting and receiving method used in wireless sensor network
CN104717173B (en) Sub-carriers complex balancing wireless communication method based on channel decoupling

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C56 Change in the name or address of the patentee

Owner name: JIAXING WIRELESS SENSOR NETWORK ENGINEERING CENTER

Free format text: FORMER NAME: MICROSYSTEM INST. BRANCH CENTER, JIAXING CENTER, CAS

CP03 Change of name, title or address

Address after: 314006, building two, No. 778 Asia Pacific Road, Nanhu District, Jiaxing, Zhejiang

Patentee after: Jiaxing Wireless Sensor Network Engineering Center, Chinese Academy of Sciences

Address before: 4, building A, building 314050, Asia Pacific Road, Zhejiang, Jiaxing,

Patentee before: Microsystem Inst. Branch Center, Jiaxing Center, CAS

CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20100414

Termination date: 20170821