CN104135450A - Pre-survivor sequence balancing algorithm utilizing data reuse - Google Patents
Pre-survivor sequence balancing algorithm utilizing data reuse Download PDFInfo
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- CN104135450A CN104135450A CN201410322994.9A CN201410322994A CN104135450A CN 104135450 A CN104135450 A CN 104135450A CN 201410322994 A CN201410322994 A CN 201410322994A CN 104135450 A CN104135450 A CN 104135450A
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Abstract
The invention discloses a pre-survivor sequence equalization algorithm utilizing data reuse, in particular the pre-survivor sequence equalization algorithm utilizing the data reuse in short burst signal communication to meet requirement for implementation of effective convergence of the equalization algorithm through adopting as fewer symbols as possible, and relates to the field of short burst communication technologies. The pre-survivor sequence equalization algorithm comprises the following steps of: setting a receiving sequence as a known receiving sequence; adopting a pre-survivor sequence algorithm to carry out estimation on an emitting sequence and carry out coarse estimation on a forward channel parameter synchronously; carrying out precise estimation on the forward channel parameter, adopting a single data vector cyclic reuse manner, utilizing the estimation of the emitting sequence and a coarse estimation result of a last forward channel receiving parameter to carry out iteration, and stopping when a value obtained by dividing an error mean square by a mean square value of the receiving sequence is smaller than a threshold; and converting the precise estimation of the forward channel parameter to coefficients of a linear balancer, and guiding the coefficients into a decision-directed least mean square to implement equalization. Through the steps, the pre-survivor sequence equalization algorithm utilizing the data reuse meets the requirement for equalization of short burst signals.
Description
Technical field
The present invention relates to short burst communication technical field, more particularly, in short burst signal communication, utilize data reusing by survival sequential equilibrium algorithm, to meet the requirement that adopts few symbol of trying one's best to realize effective convergence of equalization algorithm.
Background technology
As everyone knows, because short-term burst signal possesses good adaptivity, stronger anti-interception capability and higher confidentiality, such signal has all been obtained application more and more widely in military and civilian field, therefore reception technique research of short-term burst signal is had to great theory significance and practical value.In view of a large amount of uses of short burst signal in communication, the convergence rate of equalization algorithm has been proposed to more and more higher requirement---adopting few symbol of trying one's best to realize effective convergence of equalization algorithm, is to reduce one of method using symbol and adopt data reusing method.The equalization algorithm that current application data is reused is mainly combined with conventional CMA equalization algorithm by data reusing, data reusing is combined with affine projection CMA algorithm and data reusing is combined with collection person's filtering CMA algorithm etc., but said method also can only reduce to the individual magnitude of hundreds of from several thousand magnitude by the symbol quantity of use, cannot meet the needs of short burst signal equilibrium, therefore need to find use symbol quantity few, the algorithm that algorithm complex is low meets the needs of short burst signal equilibrium.
Summary of the invention
The object of the invention is to overcome the disappearance and the deficiency that in above-mentioned prior art, exist, propose a kind of utilize data reusing by survival sequential equilibrium algorithm, realize the fast uniform of burst.
For achieving the above object, the present invention adopts following technical scheme:
Utilize data reusing by a survival sequential equilibrium algorithm, comprise the following steps:
A. it is known setting receiving sequence.
B. adopt by survival sequence algorithm and transmitting sequence is estimated to carry out rough estimate with forward channel parameter simultaneously.
C. the accurate estimation of forward channel parameter, adopt forms data vector circulation reuse means, utilize the estimation of transmitting sequence and the rough estimate result of last forward channel reception parameter, carry out iteration, in the time that error mean square is estimated to be less than thresholding divided by the mean-square value of receiving sequence, stop.
D. the accurate estimation of forward channel parameter is converted into linear equalizer coefficient, is inducted into decision-directed least-mean-square error algorithm, realizes balanced.
Iteration described in described step C., to the sequence vector z receiving
n-N+1, z
n-N+2... z
n, adopt the circulation reuse means based on forms data vector, to single receiving sequence vector z
n-N+1, z
n-N+2... z
nreuse, the forward channel parameter Estimation result that the transmitting sequence obtaining is for the first time estimated and last iteration obtains is brought into again, complete interative computation.
As mentioned above, the present invention is by several steps, utilize data reusing by survival sequential equilibrium algorithm, can realize the Fast Blind equilibrium of burst, meet the needs of short burst signal equilibrium,
Brief description of the drawings
Fig. 1 is a kind of FB(flow block) by survival sequential equilibrium algorithm of utilizing data reusing of the present invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is further described
Of the present invention a kind of utilize data reusing by survival sequential equilibrium algorithm, its step is as follows:
It is known setting receiving sequence.
According to the channel model of intersymbol interference, receive channel can be expressed as:
Wherein, Z
kthe receiving sequence that receiving terminal is received, a
ktransmitting sequence, W
ksignal noise, f
mfor channel parameter, X
kbe the symbol of receiving after channel, L is channel length, and k is the time.
Utilize the renewal process of estimating by survival sequence algorithm equalization channel, realize transmitting sequence a
kwith channel f
krough estimate,
Wherein,
that the k moment is to channel f
kestimation, β is stepping length, for being less than 1 decimal, e (μ
k-1→ μ
k) be carved into the evaluated error in k moment when by k-1,
for the k-1 moment is transformed into the estimation of k moment to transmitting sequence.
Datacycle reuse means based on forms data vector can be expressed as:
Wherein, z
n-N+1, z
n-N+2... z
nfor the forms data vector of reusing;
By bringing the result of channel estimating last time into and the estimation of transmitting sequence is repeatedly reused forms data vector, by iteration repeatedly iteration obtain the accurate estimation to forward channel parameter.
In the time that error mean square is estimated to be less than thresholding divided by the mean-square value of receiving sequence, will the estimation of channel be converted into linear equalizer coefficient, be inducted into decision-directed least-mean-square error algorithm, realize balanced.
Error mean square is estimated as
the mean-square value of receiving sequence is E|z
k|
2.
In sum, of the present invention a kind of utilize data reusing by survival sequential equilibrium algorithm, the forms data vector receiving by Reusability, by bringing the channel estimation results of last time and the estimation to list entries into, utilize iterative algorithm to obtain the accurate estimation to channel, to the estimation of channel be converted into linear equalizer coefficient again, be inducted into decision-directed least-mean-square error algorithm, realize balanced.
Claims (3)
1. utilize data reusing by a survival sequential equilibrium algorithm, it is characterized in that: this equalization algorithm comprises the following steps:
A. it is known setting receiving sequence;
B. adopt by survival sequence algorithm and transmitting sequence is estimated to carry out rough estimate with forward channel parameter simultaneously;
C. the accurate estimation of forward channel parameter, adopt forms data vector circulation reuse means, utilize the estimation of transmitting sequence and the rough estimate result of last forward channel reception parameter, carry out iteration, in the time that error mean square is estimated to be less than thresholding divided by the mean-square value of receiving sequence, stop;
D. the accurate estimation of forward channel parameter is converted into linear equalizer coefficient, is inducted into decision-directed least-mean-square error algorithm, realizes balanced.
As claimed in claim 1 utilize data reusing by survival sequential equilibrium algorithm, it is characterized in that: iteration described in described step C., to receive sequence vector z
n-N+1, z
n-N+2... z
n, adopt the circulation reuse means based on forms data vector, to single receiving sequence vector z
n-N+1, z
n-N+2... z
nreuse, the forward channel parameter Estimation result that the transmitting sequence obtaining is for the first time estimated and last iteration obtains is brought into again, complete interative computation.
As claimed in claim 1 utilize data reusing by survival sequential equilibrium algorithm, it is characterized in that: described thresholding, wherein, QPSK thresholding is that 0.25,8PSK thresholding is that 0.1,16APSK thresholding is 0.06.
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| CN201410322994.9A CN104135450B (en) | 2014-07-08 | 2014-07-08 | Pre-survivor sequence balancing method utilizing data reuse |
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| CN104135450A true CN104135450A (en) | 2014-11-05 |
| CN104135450B CN104135450B (en) | 2017-05-17 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105306396A (en) * | 2015-11-03 | 2016-02-03 | 西安烽火电子科技有限责任公司 | Optimization method for iterative equalization of wireless wideband communication channel |
| CN106850035A (en) * | 2016-12-15 | 2017-06-13 | 四川九洲电器集团有限责任公司 | A kind of method of multichannel Amplitude phase distortion correction |
| CN114189409A (en) * | 2021-12-08 | 2022-03-15 | 重庆两江卫星移动通信有限公司 | Short burst signal equalization method based on BOOTSTRAP |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100358324C (en) * | 2004-08-16 | 2007-12-26 | 西安电子科技大学 | Data equalization method for burst communication |
| CN102685048B (en) * | 2012-05-28 | 2014-10-29 | 上海师范大学 | Blind equalization algorithm for burst signal |
-
2014
- 2014-07-08 CN CN201410322994.9A patent/CN104135450B/en not_active Expired - Fee Related
Non-Patent Citations (2)
| Title |
|---|
| 许华等: "基于"数据重用"的常模盲均衡算法分析", 《通信学报》 * |
| 赵良等: "逐幸存序列算法引导的快速盲均衡算法", 《西安电子科技大学学报（自然科学版）》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105306396A (en) * | 2015-11-03 | 2016-02-03 | 西安烽火电子科技有限责任公司 | Optimization method for iterative equalization of wireless wideband communication channel |
| CN105306396B (en) * | 2015-11-03 | 2018-11-09 | 西安烽火电子科技有限责任公司 | A kind of optimization method of wireless broadband communication channel iterations equilibrium |
| CN106850035A (en) * | 2016-12-15 | 2017-06-13 | 四川九洲电器集团有限责任公司 | A kind of method of multichannel Amplitude phase distortion correction |
| CN114189409A (en) * | 2021-12-08 | 2022-03-15 | 重庆两江卫星移动通信有限公司 | Short burst signal equalization method based on BOOTSTRAP |
| CN114189409B (en) * | 2021-12-08 | 2024-07-02 | 重庆两江卫星移动通信有限公司 | BOOTSTRAP-based short burst signal equalization method |
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| CN104135450B (en) | 2017-05-17 |
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