CN106911359B - Training sequence fill method suitable for the estimation of distributed compression channel perception - Google Patents
Training sequence fill method suitable for the estimation of distributed compression channel perception Download PDFInfo
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- 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
- H04L25/0224—Channel estimation using sounding signals
- H04L25/0228—Channel estimation using sounding signals with direct estimation from sounding signals
- H04L25/023—Channel estimation using sounding signals with direct estimation from sounding signals with extension to other symbols
- H04L25/0232—Channel estimation using sounding signals with direct estimation from sounding signals with extension to other symbols by interpolation between sounding signals
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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
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Abstract
The present invention provides a kind of training sequence fill methods suitable for the estimation of dynamic compression channel perception comprising following steps: one sequence T of building；Using sliding window reading manner, tract is successively read from sequence T as training sequence Pj, wherein j indicates time sequencing；By training sequence PjIt is inserted into payload data block DjBetween, form transmitting data frame/stream.The training sequence filled using training sequence fill method of the present invention, it can complete channel estimation and multi-path Interference Cancellation, distributed compression channel perception estimation advantage can effectively be played, multi-path jamming between data block can be resisted simultaneously, effectively improves the availability of frequency spectrum while improving channel estimation accuracy.
Description
Technical field
The invention belongs to fields of communication technology, and in particular to a kind of training suitable for the estimation of distributed compression channel perception
Sequence Filling method.
Background technique
Channel status detection is one of key technology of modern wireless communication systems.In existing channel status detection method
In, based on the channel estimation of reference signal due to the remarkable advantages such as small with error, complexity is low, it is widely used in modern wireless
In Transmission system.Channel estimation methods of the tradition based on reference signal only consider channel propagation paths maximum delay, do not consider to believe
Road propagation path quantity generally requires to add a large amount of reference signal progress channel estimation during broadband data transmission, greatly
The utilization rate of channel spectrum resource is reduced greatly.The multipath transmisstion of wireless broadband system usually has the sparse features in time domain,
Different from conventional channel estimation method, compressed sensing channel estimation is a kind of Parameterization estimate method, and main thought is estimation
The parameters such as position, size and the phase in each path, therefore opposite conventional channel estimation method has few excellent of required reference signal
Gesture.Building observed quantity is few, observing matrix of good performance is the key that the realization of compressed sensing channel estimation technique, and observing matrix
Building have close be associated with the fill method of reference signal.
Estimate relative to independent compression channel perception, distributed compression channel perception estimation method makes full use of adjacent moment
The little feature of channel state variations, the observation vector for combining each measurement moment carry out Multipath Time Delay Estimation, can further decrease
Pilot-frequency expense improves time delay estimation accuracy rate.Respectively the measurement moment possesses mutually different observing matrix in combination is distributed for institute
The key of compressed sensing joint channel estimation.
Block transmission system has the advantages that be easy to eliminate multi-path jamming, and it is logical to be widely used in Modern wireless communication, the underwater sound
The fields such as letter.The reference signal of block transmission system channel estimation has frequency pilot sign and two kinds of training sequence, and training sequence can be simultaneously
For multi-path Interference Cancellation and channel estimation, the ratio of Transmission system redundant signals can effectively reduce.Letter based on training sequence
Channel estimation method can be used for the low single carrier of peak-to-average force ratio (such as SC-FDE, single carrier frequency domain equalization) system, be suitable for transmitting terminal function
Consume sensitive system.
There are many documents that training sequence is used in compressed sensing channel estimation at present, and has proposed a series of and see
Survey the training sequence production method of matrix correlation.But it these training sequences or is only applicable to independent compression channel perception and estimates
It counts or does not consider protection interval function, be unable to satisfy while being used as multipath extended protection interval and distributed compression perception letter
The requirement of road estimation.
Summary of the invention
In order to solve the above problems existing in the present technology, the present invention provides one kind to be suitable for distributed compression perception letter
The training sequence fill method of road estimation, can be used as between multipath extended protection using the training sequence that the fill method obtains
Every and meet distributed compression channel perception estimation requirement.
The technical scheme adopted by the invention is as follows: the training sequence filling side suitable for the estimation of distributed compression channel perception
Method, which is characterized in that it is the following steps are included: one sequence T of building；Using sliding window reading manner, successively read from sequence T
Take tract as training sequence Pj, wherein j indicates time sequencing；By training sequence PjIt is inserted into payload data block DjBetween,
Form transmitting data frame/stream.
Further, the sequence T is the random pseudo-random sequence of constant amplitude phase.
Further, the sequence T is obtained by several identical sequence connections, and the minimum repetition period of sequence T is not
Less than channel maximum delay length.
Further, the sequence T is obtained by unlimited identical sequence connection.
Further, in the sliding window, each slippage is equal to observed quantity M, the overlapping of two sliding window of adjacent moment
Length is equal to maximum channel length L, and window length is equal to the length L+M of training sequence.
Further, the method for channel estimation being completed using the training sequence are as follows: obtained using training sequence several
Mutually different calculation matrix between a adjacent data blocks；Channel estimation is carried out using distributed compression perception algorithm.
Further, using the training sequence complete multi-path Interference Cancellation method are as follows: using the training sequence as
Multipath extended protection interval；Channel multi-path extension is eliminated to the interference between data block using frequency domain equalization Processing Algorithm.
Further, the sequence T is greater than or equal to the sequence of L+JM using length, wherein J indicates distributed compression sense
Know channel estimation maximum combined degree.
Further, the transmitting data frame/stream uses length for J (L+M)+(J-1) N, is sequentially P1D1P2D2…
PJ-1DJ-1PJTransmission of data sequences, wherein N expression payload data block length.
Further, the sequence T is connected and composed and by unlimited identical sequence using length JM as the period, wherein J is indicated
Distributed compression channel perception estimates maximum combined degree；Transmitting data frame/the stream uses sequence for P1D1P2D2…PJDJP1DJ+ 1P2DJ+2…PJD2JP1D2J+1P2D2J+2... transmission of data sequences.
Due to using the technology described above, the invention has the benefit that using the fill method of training sequence of the present invention
The training sequence filled can effectively play distributed compression channel perception estimation advantage, while can resist data block it
Between multi-path jamming, the availability of frequency spectrum can be effectively improved while improving channel estimation accuracy.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the training sequence filling for being suitable for the estimation of distributed compression channel perception provided in one embodiment of the invention
The flow chart of method；
Fig. 2 is that the training sequence of the burst transmission system provided in one embodiment of the invention generates and data frame structure is illustrated
Figure；
Fig. 3 is the training sequence filling based on the estimation of distributed compression channel perception provided in another embodiment of the present invention
Applicating flow chart of the method in burst transmission system；
Fig. 4 is the structural schematic diagram of the individual data block signal processing frame provided in another embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical solution of the present invention will be carried out below
Detailed description.Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art are obtained all without making creative work
Other embodiment belongs to the range that the present invention is protected.
As shown in Figure 1, the present invention provides a kind of training sequence fillings suitable for the estimation of distributed compression channel perception
Method comprising following steps:
One S1, building sequence T.
S2, using sliding window reading manner, successively from sequence T read tract as training sequence Pj, wherein j table
Show time sequencing.
S3, by training sequence PjIt is inserted into payload data block DjBetween, form transmitting data frame/stream.
Distributed compression perception can either be met using the training sequence that training sequence fill method of the present invention is filled
Different observing matrix requirements, are also able to satisfy the requirement with same reference signal sequence before and after payload data block.Using the present invention
The training sequence that training sequence fill method is filled can be used as multipath extended protection interval, and being handled using frequency domain equalization can
Multipath extension is effectively eliminated to the interference between data block.
In above-mentioned steps S1, sequence T can be the random pseudo-random sequence of simple constant amplitude phase.Sequence T can be with
It is obtained by several identical sequence connections, need to only guarantee the minimum repetition period of sequence T not less than channel maximum delay length.
Sequence T can also be obtained by unlimited identical sequence connection, to be applied to continuously transmit system.
In above-mentioned steps S2, as shown in Fig. 2, each slippage is equal to observed quantity M, adjacent moment in the sliding window
The overlap length of two sliding windows is equal to maximum channel length L, and window length, that is, training sequence length is L+M.
The training sequence that training sequence fill method of the present invention is filled can be applied to distributed compression channel perception and estimate
In meter.Training sequence PjLength be L+M, the multipath model of compressed sensing channel estimation is described as Qj=Ψjhj+nj, QjTo see
Direction finding amount, hjFor sparse multipath vector, ΨjBattle array is observed for Toeplitz structure:
When each measurement uses different training sequence Pj, corresponding observing matrix ΨjChange also with j, meets and divide
The requirement of cloth compressed sensing algorithm.Using distributed compression perception algorithm, (such as DCS-SOMP distributed compression is perceived-is synchronized just
Hand over matching pursuit algorithm) channel estimation is carried out, good channel status can be obtained with shorter observed quantity M and estimate performance, in turn
Improve the availability of frequency spectrum.
As shown in figure 3, being suitable for the present invention training sequence fill method of distributed compression channel perception estimation below
It is described in detail applied to burst transmission system.
S11, felt according to required maximum channel length L, distributed compression channel perception estimation maximum combined degree J, compression
Know observed quantity M, generates the sequence T that a length is greater than or equal to L+JM.
S22, using the 1st data as initial position, choose sequence T continuous L+M data as the 1st training sequence
P1；Using the M+1 data as initial position, the continuous L+M data of sequence T are chosen as the 2nd training sequence P2；Similarly,
Using M+1 data of jth as initial position, the L+M data of sequence T are chosen as+1 training sequence P of jthj+1。
S33, the length for remembering payload data block are N, and j-th of payload data block is denoted as Dj, according to P1D1P2D2…PJ-1DJ- 1PJSequence, generation length be J (L+M)+(J-1) N transmission of data sequences X.
After S44, transmission of data sequences X are by interchannel noise and multi-path jamming, in receiving end by the same of T/F
It walks, diameter is synchronous headed by time synchronization, obtains receiving data sequence R corresponding with transmission of data sequences X.
S55, (j-1) (L+M+N)+L+1 data are regard as initial position, the continuous N for choosing receiving data sequence R is a
Data are as j-th of received training sequence Qj(j ∈ [1, J]), distributed compression sense can be used in most J received training sequences
Know that technology carries out joint channel estimation.Wherein, the length of received training sequence is M.
S66, (j-1) (L+M+N)+L+M+1 data are used as to initial position, the continuous N of selection receiving data sequence R
As j-th of reception data block (j ∈ [1, J-1]), which can be eliminated+L data by frequency-domain equalization technology
Multi-path jamming.Wherein, the length for receiving data block is N+L.
As shown in figure 4, received training sequence Q described in step S55jCorresponding to observation window shown in Fig. 4, step S66 institute
The reception data block that can be used for frequency domain equalization stated corresponds to FFT window shown in Fig. 4.
In addition, can be changed by following according to the above-mentioned training sequence fill method for burst transmission system embodiment
Dynamic to be used to continuously transmit system, in step s 11 for training sequence fill method of the present invention, sequence T is by unlimited a identical sequence
It connects and composes and using length JM as the period；In step S33, transmission of data sequences X is P1D1P2D2…PJDJP1DJ+1P2DJ+2…
PJD2JP1D2J+1P2D2J+2….Due to sequence PjIt slides M every time by the sequence T that the period is JM to obtain, therefore PjUsing J as the period, i.e.,
Pj=PJ+j。
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (5)
1. it is a kind of suitable for distributed compression channel perception estimation training sequence fill method, which is characterized in that it include with
Lower step:
Construct a sequence T, wherein sequence T is for the random pseudo-random sequence of constant amplitude phase or by several identical sequences
The sequence that column connection obtains or the sequence obtained by unlimited identical sequence connection；
Using sliding window reading manner, tract is successively read from sequence T as training sequence Pj, wherein j indicates that the time is suitable
Sequence；
By training sequence PjIt is inserted into payload data block DjBetween, form transmitting data frame/stream；
Wherein, each slippage is equal to observed quantity M in the sliding window, and the overlap length of two sliding window of adjacent moment is equal to maximum
Channel length L, window length, that is, training sequence length are L+M；
Further include: channel estimation is completed using the training sequence；
It is described using the training sequence complete channel estimation method include:
The mutually different calculation matrix between several adjacent data blocks is obtained using training sequence；
Channel estimation is carried out using distributed compression perception algorithm；
Further include: multi-path Interference Cancellation is completed using the training sequence；
It is described using training sequence complete multi-path Interference Cancellation method include:
Using the partial sequence of the training sequence as cyclic prefix protection interval；
Channel multi-path extension is eliminated to the interference between data block using frequency domain equalization Processing Algorithm.
2. the training sequence fill method suitable for the estimation of distributed compression channel perception as described in claim 1, feature
It is, when the sequence T is the sequence obtained by several identical sequence connections, the minimum repetition period of sequence T is not less than
Channel maximum delay length.
3. the training sequence fill method suitable for the estimation of distributed compression channel perception as claimed in claim 1 or 2, special
Sign is that the sequence T is greater than or equal to the sequence of L+JM using length, wherein J indicates the estimation of distributed compression channel perception
Maximum combined length.
4. the training sequence fill method suitable for the estimation of distributed compression channel perception as claimed in claim 3, feature
It is, it is sequentially P that the transmitting data frame/stream, which uses length for J (L+M)+(J-1) N,1D1P2D2......PJ-1DJ-1PJHair
Penetrate data sequence, wherein the length of N expression payload data block.
5. the training sequence fill method suitable for the estimation of distributed compression channel perception as claimed in claim 1 or 2, special
Sign is that the sequence T is connected and composed and by unlimited identical sequence using length JM as the period, wherein J indicates distributed compression
Channel perception estimates maximum combined length；Transmitting data frame/the stream uses sequence for P1D1P2D2......PJDJP1DJ+ 1P2DJ+2…PJD2JP1D2J+1P2D2J+2... transmission of data sequences.
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| CN101325569A (en) * | 2007-06-15 | 2008-12-17 | 安捷伦科技有限公司 | Robust channel evaluation for communication system |
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