CN102932046B - MIMO (Multiple Input Multiple Output)-UWB (Ultra-wide Bandwidth) communication method based on transmit reference - Google Patents
MIMO (Multiple Input Multiple Output)-UWB (Ultra-wide Bandwidth) communication method based on transmit reference Download PDFInfo
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- CN102932046B CN102932046B CN201210396099.2A CN201210396099A CN102932046B CN 102932046 B CN102932046 B CN 102932046B CN 201210396099 A CN201210396099 A CN 201210396099A CN 102932046 B CN102932046 B CN 102932046B
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Abstract
The invention provides a novel implementation scheme of a TR (transmit reference)-MIMO (Multiple Input Multiple Output)-UWB (Ultra-wide Bandwidth) communication system. According to the implementation scheme, two antennas are used for transmitting information, one or two antennas are used for receiving the information, a space-time coding relation is formed by a symbol pulse transmission antenna and transmission time, a reference pulse symbol is transmitted at the same time, and the effect of channel parameters is eliminated through an algebraic relation of the reference pulse symbol and a transmission pulse symbol at a receiving terminal. Therefore, the scheme needs no channel estimation during a working process, thereby greatly reducing the realization difficulty of the system; and as the scheme realizes MIMO-UWB, the channel capacity is effectively improved, and the effect of channel shadow fading is eliminated.
Description
Technical field
The invention belongs to wireless communication technology field.Be specially a kind of MIMO-UWB communication means based on sending reference.
Background technology
The combination of multiple-input and multiple-output (MIMO) and ultra broadband (UWB) technology is the important channel realizing high speed data transfer, be also the technology of the 5th third-generation mobile communication institute primary study, but MIMO-UWB needs to realize good channel estimating, and this is application difficult point.
Multiple-input and multiple-output (MIMO) and ultra broadband (UWB) technology are combined is the good solution realizing two-forty, reliable wireless communication, adopt MIMO technology, can when obtaining identical diversity gain, reduce Rake receiver branch way in UWB communication system, thus reduce Rake receiver realize difficulty.MIMO technology effectively can eliminate the impact of shadow fading on UWB system in addition.To sum up, the effective combination furtheing investigate MIMO and UWB technology is significantly.
But the difficult point existed in MIMO-UWB systematic realizing program, namely needs good channel estimating to support Rake receiver, to obtain multipath diversity gains.Usually auto-correlation can be adopted in UWB system acceptance process to receive or irrelevant reception reduces requirement to channel estimating, wherein autocorrelation receiver is a kind of performance UWB reception programme of compromising relative to complexity, it adopts Received signal strength as local template signal usually, owing to not needing to produce local template, so receiver structure is relatively simple.But owing to there is noise in template signal, so poor-performing during low signal-to-noise ratio.
Summary of the invention
The technical problem solved
For solving prior art Problems existing, reduce the requirement of MIMO-UWB system to channel estimating, the principle that the present invention utilizes auto-correlation to receive proposes a kind of based on transmission reference (Transmit Reference, TR) MIMO-UWB communication means, referred to as TR-MIMO-UWB, the program can without the need under the condition of channel estimating, promotes UWB power system capacity and eliminates the impact of channel shadow fading.
Technical scheme
Technical scheme of the present invention is:
Described a kind of MIMO-UWB communication means based on sending reference, comprises transmitting terminal step and receiving terminal step, it is characterized in that:
Described transmitting terminal step is following steps:
Step 1: binary message symbol sebolic addressing to be sent is divided into groups, two adjacent binary message symbols are one group of information;
Step 2: adopt following steps often to organize information by two antenna transmissions:
Step 2.1: be a coefficient vector (R by two binary message sign map in every group information
1, R
2), mapping relations are:
Two binary message symbols of input | Coefficient vector (R 1,R 2) |
00 | (1,0) |
01 | (0,-1) |
10 | (0,1) |
11 | (-1,0) |
Step 2.2: get reference pulse symbol (x
1, x
2) in
determine the information pulse symbol (x of actual transmission
3, x
4) be (x
3, x
4)=(R
1x
1-R
2x
2, R
1x
2+ R
2x
1); By reference pulse symbol (x
1, x
2) and the actual information pulse symbol (x sent
3, x
4) paired pulses q (t) carries out pulse amplitude modulation, and carry out Space Time Coding, space-time coding method is:
Step 2.3: the corresponding time determine the pulse signal after coding according to space-time coding method in step 2.2 and antenna transmission are gone out;
Step 2.4: step 2.3 is repeated N
fsecondary, complete the transmitting of this group information;
Described receiving terminal step is following steps:
Step 3: adopt following steps to be received by an antenna and often organize information:
Step 3.1: determine that transmitting-receiving time of reception is synchronous, get r
1, r
2, r
3, r
4represent the Received signal strength of reception antenna on the time 1,2,3,4 respectively, wherein r
1=[x
1h
11(t)+x
2h
12(t)]+n (t), r
2=[-x
2h
11(t)+x
1h
12(t)]+n (t), r
3=[x
3h
11(t)+x
4h
12(t)]+n (t), r
4=[-x
4h
11(t)+x
3h
12(t)]+n (t), wherein h
abrepresent the channel between b transmitting antenna and a reception antenna, n (t) receives white Gaussian noise;
Step 3.2: determine coefficient vector R in this group signal
1decision statistics: z
1, i=(r
3, r
4) (r
1, r
2), wherein (r
3, r
4) be Received signal strength r
3and r
4inner product, (r
1, r
2) be Received signal strength r
1and r
2inner product, (r
3, r
4) (r
1, r
2) represent two inner product (r
1, r
2) and (r
3, r
4) product; Determine coefficient vector R in this group signal
2decision statistics: z
2, i=(r
3, r
4) (r
2,-r
1), wherein (r
2,-r
1) Received signal strength r
2with-r
1inner product;
Step 3.3: calculate decision statistics sum:
Step 3.4: get this group signal coefficient vector (R
1, R
2) maximum likelihood estimator
for
wherein Z=(Z
1, Z
2), R=(R
1, R
2);
Step 3.5: according to estimated value
with the corresponding relation of binary message symbol, draw the binary message symbol of reception, described estimated value
with the corresponding relation of binary message symbol be:
Described a kind of MIMO-UWB communication means based on sending reference, is characterized in that:
Described receiving terminal step is following steps:
Step 3: adopt following steps to be received by two antennas and often organize information, two antennas are called reception antenna 1 and reception antenna 2:
Step 3.1: determine that transmitting-receiving time of reception is synchronous, get r
1, r
2, r
3, r
4represent the Received signal strength of reception antenna 1 on the time 1,2,3,4 respectively, wherein r
1=[x
1h
11(t)+x
2h
12(t)]+n (t), r
2=[-x
2h
11(t)+x
1h
12(t)]+n (t), r
3=[x
3h
11(t)+x
4h
12(t)]+n (t), r
4=[-x
4h
11(t)+x
3h
12(t)]+n (t); Get r
5, r
6, r
7, r
8represent the Received signal strength of reception antenna 2 on the time 1,2,3,4 respectively, wherein r
5=[x
1h
21(t)+x
2h
22(t)]+n (t), r
6=[-x
2h
21(t)+x
1h
22(t)]+n (t), r
7=[x
3h
21(t)+x
4h
22(t)]+n (t), r
8=[-x
4h
21(t)+x
3h
22(t)]+n (t); Wherein h
abrepresent the channel between b transmitting antenna and a reception antenna, n (t) receives white Gaussian noise;
Step 3.2: determine coefficient vector R in this group signal
1decision statistics: Z
1, i=(r
3, r
4) (r
1, r
2)+(r
7, r
8) (r
5, r
6), wherein (r
3, r
4) be Received signal strength r
3and r
4inner product, (r
1, r
2) be Received signal strength r
1and r
2inner product, (r
7, r
8) be Received signal strength r
7and r
8inner product, (r
5, r
6) be Received signal strength r
5and r
6inner product; Determine coefficient vector R in this group signal
2decision statistics: Z
2, i=(r
3, r
4) (r
2,-r
1)+(r
7, r
8) (r
6,-r
5), wherein (r
2,-r
1) Received signal strength r
2with-r
1inner product, (r
6,-r
5) Received signal strength r
6with-r
5inner product;
Step 3.3: calculate decision statistics sum:
Step 3.4: get this group signal coefficient vector (R
1, R
2) maximum likelihood estimator
for
wherein Z=(Z
1, Z
2), R=(R
1, R
2);
Step 3.5: according to estimated value
with the corresponding relation of binary message symbol, draw the binary message symbol of reception, described estimated value
with the corresponding relation of binary message symbol be:
Beneficial effect
The present invention proposes a kind of new TR-MIMO-UWB communication system implementation, the program adopts two antennas to send information, use one or two antennas reception information, sign pulse is launched the antenna of use and is formed Space Time Coding relation launch time, send reference pulse symbol simultaneously, utilize reference pulse symbol and the algebraic relation sent between impulse code to eliminate the impact of channel parameter at receiving terminal.Like this, this programme does not operationally need channel estimation process, and what greatly reduce system realizes difficulty, also achieves MIMO-UWB simultaneously, effectively improves channel capacity, eliminates the impact of channel shadow fading.
Accompanying drawing explanation
Fig. 1 TR-MIMO-UWB systems radiate part block diagram
Fig. 2 TR-MIMO-UWB system reception part block diagram
Fig. 3 decision statistics planisphere (E
b/ N
0=16dB)
Embodiment
With reference to the accompanying drawings, the procedure of TR-MIMO-UWB system is described with a concrete example:
Embodiment 1
TR-MIMO-UWB communication means in the present embodiment, comprises transmitting terminal part and receiving terminal part.
Wherein transmitting terminal part is as shown in Figure 1, adopts two transmit antennas, and its protocol step is:
Step 1: binary message symbol sebolic addressing to be sent is divided into groups, two adjacent binary message symbols are one group of information; Just following four kinds of grouping situations can be produced: (0,0), (0,1), (1,0), (1,1).The present embodiment with (0,0) for example.
Step 2: adopt following steps often to organize information by two antenna transmissions:
Two binary message sign map in every group information are a coefficient vector (R by step 2.1: according to the syntagmatic of two binary bits symbols in every group information
1, R
2), mapping relations are:
Two binary message symbols of input | Coefficient vector (R 1,R 2) |
00 | (1,0) |
01 | (0,-1) |
10 | (0,1) |
11 | (-1,0) |
In the present embodiment, (0,0) is mapped as coefficient vector (1,0).
Step 2.2: for ensureing length normalization method, get reference pulse symbol (x
1, x
2) in
then determine the information pulse symbol (x of actual transmission
3, x
4) be (x
3, x
4)=(R
1x
1-R
2x
2, R
1x
2+ R
2x
1), in the present embodiment
by reference pulse symbol (x
1, x
2) and the actual information pulse symbol (x sent
3, x
4) paired pulses q (t) carries out pulse amplitude (PAM) modulation, and carry out Space Time Coding, space-time coding method is:
In the present embodiment, the space-time coding method for this group (0,0) information is:
Step 2.3: the corresponding time determine the pulse signal after coding according to space-time coding method in step 2.2 and antenna transmission are gone out, and this is called the transmitting of a symbolic frame;
Step 2.4: in order to increase processing gain, step 2.3 is repeated N
fsecondary, complete the transmitting of this group information; Wherein N
fget positive integer.
Receiving terminal part as shown in Figure 2, adopts following steps:
Step 3: adopt following steps to be received by an antenna and often organize information:
Step 3.1: determine that transmitting-receiving time of reception is synchronous, to determine the Received signal strength of corresponding time, get r
1, r
2, r
3, r
4represent the Received signal strength of reception antenna on the time 1,2,3,4 respectively, wherein r
1=[x
1h
11(t)+x
2h
12(t)]+n (t), r
2=[-x
2h
11(t)+x
1h
12(t)]+n (t), r
3=[x
3h
11(t)+x
4h
12(t)]+n (t), r
4=[-x
4h
11(t)+x
3h
12(t)]+n (t), wherein h
abrepresent the channel between b transmitting antenna and a reception antenna, n (t) receives white Gaussian noise;
Step 3.2: determine coefficient vector R in this group signal
1decision statistics: z
1, i=(r
3, r
4) (r
1, r
2), wherein (r
3, r
4) be Received signal strength r
3and r
4inner product, (r
1, r
2) be Received signal strength r
1and r
2inner product; Determine coefficient vector R in this group signal
2decision statistics: z
2, i=(r
3, r
4) (r
2,-r
1), wherein (r
2,-r
1) Received signal strength r
2with-r
1inner product;
Step 3.3: calculate decision statistics sum:
Step 3.4: adopt maximum likelihood method to obtain this group signal coefficient vector (R
1, R
2) maximum likelihood estimator
for
wherein Z=(Z
1, Z
2), R=(R
1, R
2); Fig. 3 is given in (E under certain signal to noise ratio condition
b/ N
0=16dB) (Z
1, Z
2) distribution and with (R
1, R
2) relation.
Step 3.5: according to estimated value
with the corresponding relation of binary message symbol, draw the binary message symbol of reception, described estimated value
with the corresponding relation of binary message symbol be:
;
Estimated value in the present embodiment
finally judge that the binary message symbol sent is as (0,0).
Embodiment 2:
The difference of the present embodiment and embodiment 1 is receiving terminal part, have employed two reception antennas in the present embodiment, is called reception antenna 1 and reception antenna 2.
Step 3 then in the present embodiment adopts following steps:
Step 3.1: determine that transmitting-receiving time of reception is synchronous, get r
1, r
2, r
3, r
4represent the Received signal strength of reception antenna 1 on the time 1,2,3,4 respectively, wherein r
1=[x
1h
11(t)+x
2h
12(t)]+n (t), r
2=[-x
2h
11(t)+x
1h
12(t)]+n (t), r
3=[x
3h
11(t)+x
4h
12(t)]+n (t), r
4=[-x
4h
11(t)+x
3h
12(t)]+n (t); Get r
5, r
6, r
7, r
8represent the Received signal strength of reception antenna 2 on the time 1,2,3,4 respectively, wherein r
5=[x
1h
21(t)+x
2h
22(t)]+n (t), r
6=[-x
2h
21(t)+x
1h
22(t)]+n (t), r
7=[x
3h
21(t)+x
4h
22(t)]+n (t), r
8=[-x
4h
21(t)+x
3h
22(t)]+n (t); Wherein h
abrepresent the channel between b transmitting antenna and a reception antenna, n (t) receives white Gaussian noise;
Step 3.2: determine coefficient vector R in this group signal
1decision statistics: Z
1, i=(r
3, r
4) (r
1, r
2)+(r
7, r
8) (r
5, r
6), wherein (r
3, r
4) be Received signal strength r
3and r
4inner product, (r
1, r
2) be Received signal strength r
1and r
2inner product, (r
7, r
8) be Received signal strength r
7and r
8inner product, (r
5, r
6) be Received signal strength r
5and r
6inner product; Determine coefficient vector R in this group signal
2decision statistics: Z
2, i=(r
3, r
4) (r
2,-r
1)+(r
7, r
8) (r
6,-r
5), wherein (r
2,-r
1) Received signal strength r
2with-r
1inner product, (r
6,-r
5) Received signal strength r
6with-r
5inner product;
Step 3.3: calculate decision statistics sum:
Step 3.4: get this group signal coefficient vector (R
1, R
2) maximum likelihood estimator
for
wherein Z=(Z
1, Z
2), R=(R
1, R
2);
Step 3.5: according to estimated value
with the corresponding relation of binary message symbol, draw the binary message symbol of reception, described estimated value
with the corresponding relation of binary message symbol be:
; Estimated value in the present embodiment
finally judge that the binary message symbol sent is as (0,0).
Claims (2)
1., based on the MIMO-UWB communication means sending reference, comprise transmitting terminal step and receiving terminal step, it is characterized in that:
Described transmitting terminal step is following steps:
Step 1: binary message symbol sebolic addressing to be sent is divided into groups, two adjacent binary message symbols are one group of information;
Step 2: adopt following steps often to organize information by two antenna transmissions:
Step 2.1: be a coefficient vector (R by two binary message sign map in every group information
1, R
2), mapping relations are:
Step 2.2: get reference pulse symbol (x
1, x
2) in
determine the information pulse symbol (x of actual transmission
3, x
4) be (x
3, x
4)=(R
1x
1-R
2x
2, R
1x
2+ R
2x
1); By reference pulse symbol (x
1, x
2) and the actual information pulse symbol (x sent
3, x
4) paired pulses q (t) carries out pulse amplitude modulation, and carry out Space Time Coding, space-time coding method is:
Step 2.3: the corresponding time determine the pulse signal after coding according to space-time coding method in step 2.2 and antenna transmission are gone out;
Step 2.4: step 2.3 is repeated N
fsecondary, complete the transmitting of this group information, N
frefer to the pulse frame repeat number transmitted;
Described receiving terminal step is following steps:
Step 3: adopt following steps to be received by an antenna and often organize information:
Step 3.1: determine that transmitting-receiving time of reception is synchronous, get r
1, r
2, r
3, r
4represent the Received signal strength of reception antenna on the time 1,2,3,4 respectively, wherein r
1=[x
1h
11(t)+x
2h
12(t)]+n (t), r
2=[-x
2h
11(t)+x
1h
12(t)]+n (t), r
3=[x
3h
11(t)+x
4h
12(t)]+n (t), r
4=[-x
4h
11(t)+x
3h
12(t)]+n (t), wherein h
abrepresent the channel between b transmitting antenna and a reception antenna, n (t) receives white Gaussian noise;
Step 3.2: determine coefficient vector R in this group signal
1decision statistics: z
1, i=(r
3, r
4) (r
1, r
2), wherein (r
3, r
4) be Received signal strength r
3and r
4inner product, (r
1, r
2) be Received signal strength r
1and r
2inner product, (r
3, r
4) (r
1, r
2) represent two inner product (r
1, r
2) and (r
3, r
4) product; Determine coefficient vector R in this group signal
2decision statistics: z
2,
i=(r
3, r
4) (r
2,-r
1), wherein (r
2,-r
1) Received signal strength r
2with-r
1inner product;
Step 3.3: calculate decision statistics sum:
Step 3.4: get this group signal coefficient vector (R
1, R
2) maximum likelihood estimator
for
wherein Z=(Z
1, Z
2), R=(R
1, R
2);
Step 3.5: according to estimated value
with the corresponding relation of binary message symbol, draw the binary message symbol of reception, described estimated value
with the corresponding relation of binary message symbol be:
2. a kind of based on sending the MIMO-UWB communication means of reference according to claim 1, it is characterized in that: the step 3 in claim 1 is replaced with following steps:
Step 3: adopt following steps to be received by two antennas and often organize information, two antennas are called reception antenna 1 and reception antenna 2:
Step 3.1: determine that transmitting-receiving time of reception is synchronous, get r
1, r
2, r
3, r
4represent the Received signal strength of reception antenna 1 on the time 1,2,3,4 respectively, wherein r
1=[x
1h
11(t)+x
2h
12(t)]+n (t), r
2=[-x
2h
11(t)+x
1h
12(t)]+n (t), r
3=[x
3h
11(t)+x
4h
12(t)]+n (t), r
4=[-x
4h
11(t)+x
3h
12(t)]+n (t); Get r
5, r
6, r
7, r
8represent the Received signal strength of reception antenna 2 on the time 1,2,3,4 respectively, wherein r
5=[x
1h
21(t)+x
2h
22(t)]+n (t), r
6=[-x
2h
21(t)+x
1h
22(t)]+n (t), r
7=[x
3h
21(t)+x
4h
22(t)]+n (t), r
8=[-x
4h
21(t)+x
3h
22(t)]+n (t); Wherein h
abrepresent the channel between b transmitting antenna and a reception antenna, n (t) receives white Gaussian noise;
Step 3.2: determine coefficient vector R in this group signal
1decision statistics: Z
1, i=(r
3, r
4) (r
1, r
2)+(r
7, r
8) (r
5, r
6), wherein (r
3, r
4) be Received signal strength r
3and r
4inner product, (r
1, r
2) be Received signal strength r
1and r
2inner product, (r
7, r
8) be Received signal strength r
7and r
8inner product, (r
5, r
6) be Received signal strength r
5and r
6inner product; Determine coefficient vector R in this group signal
2decision statistics: Z
2,
i=(r
3, r
4) (r
2,-r
1)+(r
7, r
8) (r
6,-r
5), wherein (r
2,-r
1) Received signal strength r
2with-r
1inner product, (r
6,-r
5) Received signal strength r
6with-r
5inner product;
Step 3.3: calculate decision statistics sum:
Step 3.4: get this group signal coefficient vector (R
1, R
2) maximum likelihood estimator
for
wherein Z=(Z
1, Z
2), R=(R
1, R
2);
Step 3.5: according to estimated value
with the corresponding relation of binary message symbol, draw the binary message symbol of reception, described estimated value
with the corresponding relation of binary message symbol be:
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