CN104753645A - Multi-antenna decoding method and multi-antenna decoding system based on channel coding - Google Patents
Multi-antenna decoding method and multi-antenna decoding system based on channel coding Download PDFInfo
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Abstract
Embodiments of the invention relate to the technical field of communication, and disclose a multi-antenna decoding method and a multi-antenna decoding system based on channel coding. The method comprises the steps of processing a received signal and a received channel matrix so as to generate a converted received complex signal and a processed received channel matrix; according to the converted received complex signal and the processed received channel matrix, searching a path layer by layer so as to acquire final measurements, an optimal path and survival constellation point values, wherein the optimal path is corresponding to the smallest measurement in the measurements; according to the survival constellation point values of all the layers and the measurement corresponding to the optimal path, computing soft information; and multiplying the computed soft information with a preset coefficient and then outputting. Through adoption of the method and system, the complexity of the decoding algorithm can be lowered.
Description
Technical field
The present invention relates to communication technical field, be specifically related to a kind of multiple antennas interpretation method based on chnnel coding and system.
Background technology
Multiple-input and multiple-output (Multiple-Input Multiple-Out-put, MIMO) technology is a kind of technology adopting many antennas respectively to send and receive information in sending and receiving end.Compared to traditional single antenna transmissions system, mimo system can significantly improve the rate of information throughput, and this transmission rate is proportional to dual-mode antenna number, and compared to running time-frequency resource, the antenna resources in space is almost infinitely available.Therefore, MIMO technology is one of guardian technique of current and following raising performance for wireless communications, is widely adopted in the standards such as WCDMA, IEEE802.16 and 3GPP LTE/LTE-A.
For ensureing the transmission reliability of information data in wireless channel and antijamming capability further, usually adopt channel coding technology.
In multiple antennas navamander, improving receiver detection perform and reducing complexity is the aspect paid special attention in the design of receiver detection algorithm.At present, in multiple antennas navamander, general employing QRMMLD(QR Decomposition associated with the M-algorithm to MLD, decomposing and the Maximum Likelihood Detection of M algorithm based on QR) algorithm carries out the work decoding of multiple antennas navamander, in order to ensure the precision exporting Soft Inform ation, usually require that M value is comparatively large, when dual-mode antenna number is larger, the complexity of the program is comparatively large, is difficult to realize in engineering.
Summary of the invention
Embodiment of the present invention technical problem to be solved is to provide a kind of multiple antennas interpretation method based on chnnel coding and system, for reducing the complexity of decoding algorithm.
The embodiment of the present invention provides a kind of multiple antennas interpretation method based on chnnel coding, comprising:
Process with receive channel matrix to received signal, generate the receive channel matrix after conversion receives complex signal and processes;
Successively carry out route searching according to the receive channel matrix that described conversion receives after complex signal and process, obtain final metric, optimal path and survival constellation point value; Wherein said optimal path is the path that the minimum degree value in described metric is corresponding;
The metric corresponding according to described optimal path carries out the calculating of Soft Inform ation;
Export after the Soft Inform ation calculated is multiplied by predetermined coefficient.
Accordingly, the embodiment of the present invention also provides a kind of multiple antennas decoding system based on chnnel coding, comprising:
Processing unit, for processing with receive channel matrix to received signal, generates the receive channel matrix after conversion receives complex signal and processes;
Search unit, successively carries out route searching for the receive channel matrix received after complex signal and process according to described conversion, obtains final metric, optimal path and survival constellation point value; Wherein said optimal path is the path that the minimum degree value in described metric is corresponding;
Computing unit, for carrying out the calculating of Soft Inform ation according to metric corresponding on described optimal path;
Output unit, exports after the Soft Inform ation calculated is multiplied by predetermined coefficient.
Embodiments provide a kind of multiple antennas interpretation method based on chnnel coding and system, wherein in path search process, a child node is only selected below each father node, carry out the calculating of metric, searching route number can be reduced, reduce complexity, reduce the delay problem that sequencer procedure brings.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the multiple antennas interpretation method based on chnnel coding that the embodiment of the present invention one provides;
Fig. 2 is flow process first schematic diagram of the multiple antennas interpretation method based on chnnel coding that the embodiment of the present invention two provides;
Fig. 3 is flow process second schematic diagram of the multiple antennas interpretation method based on chnnel coding that the embodiment of the present invention two provides;
Fig. 4 is flow process the 3rd schematic diagram of the multiple antennas interpretation method based on chnnel coding that the embodiment of the present invention two provides;
Fig. 5 is the constellation point sets schematic diagram in the embodiment of the present invention;
Fig. 6 a is tree search procedure schematic diagram of the prior art;
Fig. 6 b is the tree search procedure schematic diagram in the embodiment of the present invention;
Fig. 7 is the simulation result schematic diagram of the multiple antennas interpretation method based on chnnel coding that the embodiment of the present invention provides;
Fig. 8 is structure first schematic diagram of the multiple antennas decoding system based on chnnel coding that the embodiment of the present invention three provides;
Fig. 9 is structure second schematic diagram of the multiple antennas decoding system based on chnnel coding that the embodiment of the present invention three provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
A kind of multiple antennas interpretation method based on chnnel coding and system is provided, for reducing the complexity of decoding algorithm in the embodiment of the present invention.Below be described in detail respectively.
Term " first ", " second ", " the 3rd " " 4th " etc. (if existence) in specification of the present invention and claims and above-mentioned accompanying drawing are for distinguishing similar object, and need not be used for describing specific order or precedence.Should be appreciated that the data used like this can be exchanged in the appropriate case, so as embodiments of the invention described herein such as can with except here diagram or describe those except order implement.In addition, term " comprises " and " having " and their any distortion, intention is to cover not exclusive comprising, such as, contain those steps or unit that the process of series of steps or unit, method, system, product or equipment is not necessarily limited to clearly list, but can comprise clearly do not list or for intrinsic other step of these processes, method, product or equipment or unit.
Embodiment one:
The embodiment of the present invention provides a kind of multiple antennas interpretation method based on chnnel coding, and as shown in Figure 1, the method can comprise:
101, process with receive channel matrix to received signal, generate the receive channel matrix after conversion receives complex signal and processes;
102, the receive channel matrix received after complex signal and process according to above-mentioned conversion successively carries out route searching, obtains final metric, optimal path and survival constellation point value; Wherein above-mentioned optimal path is the path that minimum degree value in above-mentioned metric is corresponding;
103, the calculating of Soft Inform ation is carried out according to the above-mentioned survival constellation point value of each layer and metric corresponding to above-mentioned optimal path;
104, the Soft Inform ation calculated is multiplied by predetermined coefficient after export.
The interpretation method that the present embodiment provides, compared with QRMMLD algorithm conventional in prior art, performance is substantially suitable, but can reduce searching route and sequencer procedure, greatly reduces computation complexity, shortens calculation delay.
Embodiment two:
The embodiment of the present invention provides a kind of multiple antennas interpretation method based on chnnel coding, and as shown in Figure 2, the method can comprise:
201, process with receive channel matrix to received signal, generate the receive channel matrix after conversion receives complex signal and processes;
202, the receive channel matrix received after complex signal and process according to above-mentioned conversion successively carries out route searching, obtains final metric, optimal path and survival constellation point value; Wherein above-mentioned optimal path is the path that minimum degree value in above-mentioned metric is corresponding;
If 203 exist the bit not meeting Soft Inform ation design conditions, then at least one individual path is supplemented to the bit place layer not meeting Soft Inform ation design conditions, and calculate metric corresponding at least one supplementary individual path;
In the present embodiment, if any one bit of one deck does not meet Soft Inform ation design conditions arbitrarily, then can supplement at least one individual path (being preferably) at the layer at the bit place not meeting Soft Inform ation design conditions, after making to supplement, this bit meets Soft Inform ation design conditions;
204, the calculating of Soft Inform ation is carried out according to metric corresponding to the above-mentioned survival constellation point value of each layer, above-mentioned optimal path and metric corresponding at least one supplementary individual path;
Soft Inform ation computational methods of the prior art can be utilized to carry out the calculating of Soft Inform ation, do not repeat them here;
205, the Soft Inform ation calculated is multiplied by predetermined coefficient after export;
After calculating the Soft Inform ation of each bit of each layer, above-mentioned Soft Inform ation can be multiplied by predetermined coefficient, channel decoding module is exported to as final Soft Inform ation, wherein, above-mentioned predetermined coefficient is determined by modes such as emulation in advance, such as this predetermined coefficient can be 1.5, and this predetermined coefficient can also have other value certainly, does not do concrete restriction at this.
In the present embodiment, suppose in this multi-input multi-output system, transmitting terminal has NT transmitting antenna, and receiving terminal has NR reception antenna, and the transmission information sequence of NT transmitting antenna can be expressed as [X
1, X
2... X
nT], the signal vector of a corresponding NR reception antenna can be expressed as [Y
1, Y
2... Y
nR], noise can be expressed as [N
1, N
2... N
nR], then receive channel matrix H is specially the matrix that NR x NT ties up, and Received signal strength model can be expressed as Y=HX+N, and Y represents Received signal strength, and X represents and transmits, and N represents noise.
Particularly, as shown in Figure 3, above-mentioned steps 201 can comprise:
201A, QR decomposition is carried out to above-mentioned receive channel matrix H, obtain unitary matrix Q and upper triangular matrix R, that is: H=QR;
201B, by the associate matrix Q of unitary matrix Q
hbe multiplied with Received signal strength Y, obtain conversion and receive complex signal V:V=Q
hy=Q
hhX+Q
hn.
Particularly, as shown in Figure 4, above-mentioned steps 202 can specifically comprise:
For NT layer: can receive according to above-mentioned conversion the candidate constellation points set that complex signal V and above-mentioned upper triangular matrix R determines NT layer, and the metric that each individual path calculating NT layer is corresponding;
For other layer: the i-th-1 node layer selecting reliability the highest for each i-th node layer as its child node (i=NT, NT-1 ... 2) metric corresponding to (the i-th-1 layer) each individual path, is calculated;
It should be noted that, reliability ordering of the prior art rule can be utilized same layer node to be carried out to the sequence of reliability, do not repeat them here;
Preferably, it is whole constellation point space that the survival constellation point sets size of NT layer is preferably C(C), other layer survival constellation point sets size is preferably 1, and the survival constellation point sets size of certain each layer can also get other suitable value, does not do concrete restriction at this;
Wherein, the computing formula of metric is:
Wherein E
k,mrepresent the metric of the individual path that kth layer m node is corresponding,
represent the candidate constellation point value of kth layer m node, v
krepresent that the conversion of kth layer receives complex signal; r
k,krepresent the element of the row k kth row in upper triangular matrix;
Wherein, for concerning NT layer, calculate the metric of individual path corresponding to each node of NT layer:
wherein, x
nT, mrepresent NT layer, the candidate constellation point value of m node, v
nTrepresent that the conversion of NT layer receives complex symbol, r
nT, NTnT in expression upper triangular matrix R is capable, the element of NT row; The metric computational methods of each node of NT layer are similar to prior art;
Shown in Fig. 6 a is tree of the prior art search (route searching) process schematic, shown in Fig. 6 b is tree search procedure schematic diagram in the present embodiment, as shown in figures 6 a and 6b, metric for other layer calculates, unlike the prior art, in the present embodiment, in the process of route searching, below the father node of each last layer, only select a child node that reliability is the highest as the selected node of this layer, the number of individual path can be greatly reduced like this, save the computational process of metric, it also avoid the sequencer procedure of metric, improve the degree of parallelism of algorithm, reduce processing delay.
Particularly, as shown in Figure 4, above-mentioned steps 203 can comprise:
203A, default i=NT;
203B, judge whether each bit of i-th layer all meets Soft Inform ation design conditions, if met, then perform step 203E, otherwise perform step 203C;
In the present embodiment, Soft Inform ation design conditions can be: for each bit, if the survival constellation point sets of i-th layer can be divided into 2 set according to the value of survival constellation point (set 0 or set 1), then the bit of i-th layer meets Soft Inform ation design conditions, otherwise does not meet Soft Inform ation design conditions;
For example, in 16QAM planisphere as shown in Figure 5, the constellation point that in figure, black round dot represents is set 0, and the constellation point that soft dot represents is set 1;
203C, supplement at least one (be preferably one) individual path (symbol) at i-th layer, after making to supplement, each bit of i-th layer all meets the design conditions of Soft Inform ation;
As shown in Figure 6 b, in Fig. 6 b, dotted line is depicted as supplementary individual path, and the individual path supplemented shown in Fig. 6 b is one, but it will be appreciated by those skilled in the art that, the individual path supplemented can also be many, does not do concrete restriction at this;
Particularly, constellation point value that can be corresponding according to number of plies i, the bit not meeting Soft Inform ation design conditions and optimal path, determines the value of the symbol needing individual path and the correspondence of supplementing;
When i-th layer exist multiple do not meet the bit of Soft Inform ation design conditions time, i-th layer needs the number of individual path of supplementing to be more than or equal to 1, is less than or equal to the number of the bit not meeting Soft Inform ation design conditions;
Preferably, the father node supplementing path chooses the father node of this layer on above-mentioned optimal path;
203D, calculate the metric corresponding to individual path supplemented of i-th layer;
203E, judge whether i is greater than 1, if so, perform step 203F, otherwise perform step 204;
203F, i=i-1; Perform step 203B.
The multiple antennas interpretation method based on chnnel coding that the present embodiment provides, in path search process, is only selected a child node, can be avoided sequencer procedure, can improve the degree of parallelism of algorithm under each father node, reduces processing delay; In addition the bit not meeting Soft Inform ation design conditions being completed to the calculating of Soft Inform ation by supplementing individual path, the accuracy in computation of interpretation method can be improved, solve the inaccurate shortcoming of calculating of low-complexity decoding method; Finally, utilize a predetermined coefficient to solve channel decoding input and obtain by different modes the problem caused; Based on above-mentioned processing method, the interpretation method that the present embodiment provides, significantly can reduce the complexity of interpretation method.
Fig. 7 be the present embodiment provide based on the multiple antennas interpretation method of chnnel coding and the performance simulation comparison diagram of QRMMLD of the prior art, as shown in Figure 7, the multiple antennas interpretation method based on chnnel coding that the embodiment of the present invention provides can reach the performance substantially suitable with QRMMLD, but compare QRMMLD and greatly reduce computation complexity, decrease processing delay.
Embodiment three:
The embodiment of the present invention provides a kind of multiple antennas decoding system based on chnnel coding, and as shown in Figure 8, this system can comprise:
Processing unit 100, for processing with receive channel matrix to received signal, generates the receive channel matrix after conversion receives complex signal and processes;
Search unit 200, for the receive channel matrix received after complex signal and process successively carries out route searching according to above-mentioned conversion, obtains final metric, optimal path and survival constellation point value; Wherein above-mentioned optimal path is the path that minimum degree value in above-mentioned metric is corresponding;
Computing unit 300, for carrying out the calculating of Soft Inform ation according to the above-mentioned survival constellation point value of each layer and metric corresponding to above-mentioned optimal path;
Output unit 400, exports after the Soft Inform ation calculated is multiplied by predetermined coefficient.
The decoding system that the present embodiment provides, compared with QRMMLD algorithm conventional in prior art, performance is substantially suitable, but can reduce searching route and sequencer procedure, greatly reduces computation complexity, shortens calculation delay.
Preferably, as shown in Figure 9, this system also can comprise:
Judging unit 500, for judging whether to exist the bit not meeting Soft Inform ation design conditions;
Supplementary units 600, for when the judged result of judging unit is no, supplements at least one individual path to the bit place layer not meeting Soft Inform ation design conditions, and after making to supplement, the bit of each layer all meets Soft Inform ation design conditions; And for calculating metric corresponding to above-mentioned at least one supplementary individual path (be called for short and supplement path).
Accordingly, computing unit 300, can be used for the calculating that the metric corresponding according to the above-mentioned survival constellation point value of each layer, above-mentioned optimal path and supplementary path carries out Soft Inform ation.
Particularly, processing unit 100 can comprise:
Decompose subelement, can be used for carrying out QR decomposition to above-mentioned receive channel matrix H, obtain unitary matrix Q and upper triangular matrix R, that is: H=QR;
Process subelement, for the associate matrix Q by unitary matrix Q
hbe multiplied with Received signal strength Y, obtain conversion and receive complex signal V:V=Q
hy=Q
hhX+Q
hn.
Particularly, search unit 200 can be specifically for:
Receive according to above-mentioned conversion the candidate constellation points set that complex signal V and above-mentioned upper triangular matrix R determines NT layer, and calculate the metric of each individual path of NT layer; And
The i-th-1 node layer selecting reliability the highest for each i-th node layer as its child node (i=NT, NT-2 ..., and calculate metric corresponding to each individual path 2).
Wherein, the computing formula of metric is:
Wherein E
k,mrepresent the metric of the individual path that kth layer m node is corresponding,
represent, kth layer, the candidate constellation point value of m node, v
krepresent that the conversion of kth layer receives complex signal; r
k,krepresent the row k in upper triangular matrix, the element of k row;
As shown in figures 6 a and 6b, unlike the prior art, in the present embodiment, in the process of route searching, below the father node of each last layer, only select a child node that reliability is the highest as the selected node of this layer, greatly can save the computational process of metric like this, it also avoid the sequencer procedure of metric, improve the degree of parallelism of algorithm, reduce processing delay.
The multiple antennas decoding system based on chnnel coding that the present embodiment provides, in path search process, is only selected a child node, can be avoided sequencer procedure, can improve the degree of parallelism of algorithm under each father node, reduces processing delay; In addition the bit not meeting Soft Inform ation design conditions being completed to the calculating of Soft Inform ation by supplementing individual path, the accuracy in computation of interpretation method can be improved, solve the inaccurate shortcoming of calculating of low-complexity decoding method; Finally, utilize a predetermined coefficient to solve channel decoding input and obtain by different modes the problem caused; Based on above-mentioned processing method, the multiple antennas decoding system based on chnnel coding that the present embodiment provides, significantly can reduce the complexity of interpretation method.
Each embodiment all belongs to same inventive concept above, and the description of each embodiment emphasizes particularly on different fields, and describes not detailed part in separate embodiment, can with reference to the description in other embodiments.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is that the hardware that can carry out instruction relevant by program has come, this program can be stored in a computer-readable recording medium, storage medium can comprise: flash disk, read-only memory (Read-OnlyMemory, ROM), random access device (Random Access Memory, RAM), disk or CD etc.
The multiple antennas interpretation method based on chnnel coding provided the embodiment of the present invention above and system are described in detail, apply specific case herein to set forth principle of the present invention and execution mode, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (8)
1., based on a multiple antennas interpretation method for chnnel coding, it is characterized in that, comprising:
Process with receive channel matrix to received signal, generate the receive channel matrix after conversion receives complex signal and processes;
Successively carry out route searching according to the receive channel matrix that described conversion receives after complex signal and process, obtain final metric, optimal path and survival constellation point value; Wherein said optimal path is the path that the minimum degree value in described metric is corresponding;
The calculating of Soft Inform ation is carried out according to the survival constellation point value of each layer and metric corresponding to described optimal path;
Export after the Soft Inform ation calculated is multiplied by predetermined coefficient.
2. method according to claim 1, is characterized in that, described carry out the step of the calculating of Soft Inform ation according to metric corresponding on optimal path before, described method also comprises:
If there is the bit not meeting Soft Inform ation design conditions, then at least one individual path is supplemented to the bit place layer not meeting Soft Inform ation design conditions, all meet described Soft Inform ation design conditions with the bit of each layer after making to supplement, and calculate metric corresponding at least one individual path of supplementing;
The step that the described survival constellation point value according to each layer and metric corresponding to described optimal path carry out the calculating of Soft Inform ation specifically comprises:
The metric corresponding according to the survival constellation point value of each layer, described optimal path and metric corresponding to described at least one supplementary individual path carry out the calculating of Soft Inform ation.
3. method according to claim 1 and 2, is characterized in that, describedly processes with receive channel matrix to received signal, and the step generating the receive channel matrix that conversion receives after complex signal and process specifically comprises:
QR decomposition is carried out to described receive channel matrix H, obtains unitary matrix Q and upper triangular matrix R;
Receiving terminal is by the associate matrix Q of described unitary matrix Q
hbe multiplied with described Received signal strength Y, obtain conversion and receive complex signal V.
4. method according to claim 3, it is characterized in that, the described receive channel matrix received after complex signal and process according to described conversion successively carries out route searching, and the step obtaining final metric, optimal path and survival constellation point value specifically comprises:
The candidate constellation points set that complex signal V and described upper triangular matrix R determines NT layer is received according to described conversion, and the metric that each individual path calculating NT layer is corresponding;
The i-th-1 node layer selecting reliability the highest for each i-th node layer as its child node (i=NT, NT-1 ..., and calculate metric corresponding to each individual path 2).
5., based on a multiple antennas decoding system for chnnel coding, it is characterized in that, comprising:
Processing unit, for processing with receive channel matrix to received signal, generates the receive channel matrix after conversion receives complex signal and processes;
Search unit, successively carries out route searching for the receive channel matrix received after complex signal and process according to described conversion, obtains final metric, optimal path and survival constellation point value; Wherein said optimal path is the path that the minimum degree value in described metric is corresponding;
Computing unit, for carrying out the calculating of Soft Inform ation according to the described survival constellation point value of each layer and metric corresponding to described optimal path;
Output unit, exports after the Soft Inform ation calculated is multiplied by predetermined coefficient.
6. system according to claim 5, is characterized in that, described system also comprises:
Judging unit, for judging whether to exist the bit not meeting Soft Inform ation design conditions;
Supplementary units, for when the judged result of judging unit is no, supplements at least one individual path to the bit place layer not meeting described Soft Inform ation design conditions, all meets described Soft Inform ation design conditions with the bit of each layer after making to supplement; And for calculate supplementary described in the metric of at least one individual path.
7. the system according to claim 5 or 6, is characterized in that, described processing unit specifically comprises:
Decomposing subelement, for carrying out QR decomposition to described receive channel matrix H, obtaining unitary matrix Q and upper triangular matrix R;
Process subelement, for the associate matrix Q by described unitary matrix Q
hbe multiplied with described Received signal strength Y, obtain conversion and receive complex signal V.
8. system according to claim 7, is characterized in that, described search unit specifically for:
The candidate constellation points set that complex signal V and described upper triangular matrix R determines NT layer is received according to described conversion, and the metric that each individual path calculating NT layer is corresponding; And
The i-th-1 node layer selecting reliability the highest for each i-th node layer as its child node (i=NT, NT-2 ..., and calculate metric corresponding to each individual path 2).
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