WO2011063705A1 - 双空时发射分集模式的接收方法及设备 - Google Patents

双空时发射分集模式的接收方法及设备 Download PDF

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Publication number
WO2011063705A1
WO2011063705A1 PCT/CN2010/078333 CN2010078333W WO2011063705A1 WO 2011063705 A1 WO2011063705 A1 WO 2011063705A1 CN 2010078333 W CN2010078333 W CN 2010078333W WO 2011063705 A1 WO2011063705 A1 WO 2011063705A1
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signal
parameter
detection
detection parameter
receiving
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PCT/CN2010/078333
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English (en)
French (fr)
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余荣道
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华为技术有限公司
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00Arrangements for detecting or preventing errors in the information received
    • H04L1/02Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
    • H04L1/0618Space-time coding
    • H04L1/0631Receiver arrangements

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  • the present invention relates to the field of wireless communication technologies, and in particular, to a dual space time Transmit Diversity (D-STTD) mode connection method and device.
  • D-STTD space time Transmit Diversity
  • MIMO Multiple Input Multiple Output
  • the linear MIMO equalization receiving method is widely used due to its low complexity.
  • the base station usually configures more antennas than the terminal for cost considerations.
  • a typical D-STTD mode MIMO system using 4 transmit antennas and 2 receive antennas is used. Models are more common.
  • a MIMO communication system employing a linear MIMO equalization reception method in the D-STTD mode is preferred.
  • the existing linear MIMO equalization receiving methods mainly include: Zero Forcing (ZF) combined with Serial Interference Cancellation (SIC) ZF-SIC, and linear minimum mean square error ( Linear Minimum Mean Square Error, LMMSE) Combines SLM's LMMSE-SIC methods.
  • ZF Zero Forcing
  • SIC Serial Interference Cancellation
  • LMMSE Linear Minimum Mean Square Error
  • H represents the matrix of the equivalent channel. It can be seen from the formula (4) of the above process that the method needs to perform iterative calculation. It can be seen from (1), (2), (3), and the equation that the method needs to calculate the equivalent channel in each iteration process. For the pseudo-inverse of the matrix, it is necessary to select the layer with the largest signal-to-noise ratio and perform interference cancellation, and the matrix of the equivalent channel needs to be recalculated.
  • Equation (8) H represents the matrix of the equivalent channel. It can be seen from equation (8) of the above process that the method needs to perform iterative calculation. It can be seen from (5), (6), (7), and the equation that the method needs to calculate the LMMSE coefficient in each iteration process. It is necessary to select the layer with the largest signal-to-noise ratio and perform interference cancellation. It is necessary to recalculate the LMMSE coefficients and iterate.
  • Embodiments of the present invention provide a method and device for receiving in a D-STTD mode, which optimizes a linear MIMO equalization receiving method, and reduces the complexity of the receiving method in the D-STTD mode.
  • a dual space time transmit diversity D-STTD mode receiving method including:
  • a detection signal and an analysis signal in the transmission signal are determined according to the detection parameter.
  • a dual space time transmit diversity D-STTD mode receiving method includes:
  • a receiving end comprising:
  • a parameter obtaining unit configured to acquire a detection parameter and an equivalent channel parameter according to channel information in an equivalent channel model in the D-STTD mode
  • a receiving unit configured to receive a received signal in a D-STTD mode
  • a signal acquiring unit configured to perform, according to the equivalent channel parameter acquired by the parameter acquiring unit, the The receiving signal received by the receiving unit acquires the transmitting signal of the transmitting end;
  • a linear filter comprising:
  • a diagonalization unit configured to obtain a diagonalization parameter according to channel information in an equivalent channel model in the D-STTD mode
  • a filtering unit configured to receive the received signal in the D-STTD mode, to obtain a received signal after the interference is removed, wherein the filtering unit is configured according to the diagonalized parameter obtained by the diagonalizing unit.
  • a receiving end comprising the above linear filter.
  • the technical solution provided by the embodiment of the present invention has the following beneficial effects: it is not necessary to perform iteration in the process of acquiring the transmitted signal, and it is not necessary to obtain the violation of the channel matrix, and it is not necessary to sort the signal to noise ratio of each layer to find the maximum signal noise.
  • the receiving method of the receiving end in the D-STTD mode is optimized, the complexity of the receiving method is reduced, the design of the receiving end is simplified, and a prior art is provided in the embodiment of the present invention.
  • a linear filter proposed in MIMO technology can be used to eliminate interference and linearly process the received signal.
  • FIG. 1 is a schematic diagram of a process of transmitting and receiving a signal in a MIMO technology according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a method for receiving a D-STTD mode according to Embodiment 1 of the present invention
  • FIG. 4 is a flowchart of a method for receiving an optimized ZF-SIC according to Embodiment 3 of the present invention
  • FIG. 5 is an optimized flowchart of Embodiment 4 of the present invention
  • FIG. 6 is a schematic flowchart of a method for receiving a block diagonalization according to Embodiment 5 of the present invention
  • FIG. 3 is a schematic structural diagram of a receiving end according to Embodiment 6 of the present invention
  • FIG. 8 is a schematic structural diagram of a linear filter according to Embodiment 7 of the present invention. detailed description
  • FIG. 1 is a schematic diagram of a MIMO transmission signal process.
  • represents the number of transmitting antennas
  • represents the number of receiving antennas
  • Sl , s 2 . represents the signals transmitted on the first and second transmitting antennas
  • represents the noise received on the first and second receiving antennas, representing the channel response between the second receiving antenna and the second transmitting antenna.
  • 4 transmit antennas, 2 receive antennas ie: 4*2
  • the transmission model of the D-STTD mode MIMO communication system can be expressed by (1):
  • the Y received by the receiving end is a receiving signal.
  • the jth line of S represents the signal transmitted on the jth transmitting antenna
  • the i th column represents the ith The symbol period is transmitted, or the ith subcarrier.
  • y is an equivalent receiving matrix
  • fi is an equivalent channel matrix.
  • Embodiment 1 discloses a receiving method of a D-STTD mode. As shown in FIG. 2, the method includes: Step 101: A receiving end acquires a detection parameter according to channel information in an equivalent channel model in a D-STTD mode, and Equivalent channel parameter
  • the equivalent channel model in step 101 may be the equivalent channel matrix 3 ⁇ 4 described above.
  • Step 102 The receiving end receives the received signal in the D-STTD mode; wherein the received signal is represented by the equivalent receiving matrix F described above.
  • Step 103 The receiving end acquires a transmitting signal of the transmitting end according to the equivalent channel parameter and the received signal; wherein the transmitting signal is represented by the equivalent transmitting matrix S.
  • Step 104 The receiving end determines a detection signal and an analysis signal in the transmission signal according to the detection parameter.
  • the detection signal is not required to be parsed by the receiving end, and the part of the transmitted signal can be directly detected by the receiving end, and the parsing signal is the part of the transmitted signal that needs to be obtained by the receiving end for parsing.
  • the receiving method of the D-STTD mode has the following beneficial effects: acquiring a transmitting signal according to a parameter acquired by channel information in an equivalent channel model, and further determining a detection signal and an analytical signal in the transmitted signal, There is no need to iterate during the method of acquiring the transmitted signal. It is also unnecessary to obtain the violation of the channel matrix, and it is not necessary to sort the signal-to-noise ratio of each layer in order to find the layer with the largest signal-to-noise ratio for interference cancellation, and obviously optimize the receiving method of the receiving end in the D-STTD mode, and reduce the receiving method.
  • the complexity of the receiving method is not necessary to sort the signal-to-noise ratio of each layer in order to find the layer with the largest signal-to-noise ratio for interference cancellation
  • Embodiment 2 provides a D-STTD mode receiving method. As shown in FIG. 3, the method includes: Step 201: Obtain a diagonalization parameter according to channel information in an equivalent channel model in a D-STTD mode.
  • the equivalent channel model may be the equivalent channel matrix fi described above.
  • Step 202 Configure a linear filter according to the diagonalization parameter, and cancel the interference in the received signal by receiving the received signal in the D-STTD mode according to the linear filter.
  • the received signal in the step 202 may correspond to the foregoing.
  • Equivalent acceptance matrix Y is
  • the method provided in this embodiment does not need to perform iteration in the process of acquiring the transmitted signal, and does not need to obtain the violation of the channel matrix, and does not need to sort the signal to noise ratio of each layer in order to find the layer with the largest signal to noise ratio for interference cancellation.
  • the complexity of the receiving method is reduced, and the method in the embodiment of the present invention can be applied to cancel interference, linearly process the received signal to the linear filter, or include the receiving end of the filter, and can effectively implement the D-STTD mode.
  • Lower block diagonalized MIMO communication system is reduced, and the method in the embodiment of the present invention can be applied to cancel interference, linearly process the received signal to the linear filter, or include the receiving end of the filter, and can effectively implement the D-STTD mode.
  • This embodiment specifically provides a receiving method of the D-STTD mode, which can be considered as an improved ZF-SIC receiving method.
  • ⁇ 2 represents the noise variance of the received signal.
  • Sl , s 2 have the same signal to noise ratio, and s 3 and s 4 have the same signal to noise ratio. Since the Post-SNR of s l 7 s 2 is calculated as ( 18 ), s l 7 s 2 has the same signal-to-noise ratio. Similarly, S 3 and S 4 are also the same.
  • the method in this embodiment is as shown in FIG. 4, and includes:
  • Step 301 The receiving end acquires a first detection parameter, a second detection, and a zero-forcing equivalent channel parameter suitable for acquiring a transmission signal from a receiving method of the ZF-SIC according to channel information in an equivalent channel model in the D-STTD mode.
  • a receiving end according to the channel information (10) of fi i.e. h acquires a first detection parameter d, the second detection parameter C 2, and a reception method suitable for acquiring from the ZF-SIC equivalent zero forcing transmit signal channel parameters (i ⁇ fi) - 1.
  • the first detection parameter can be obtained by the following formula (13): (14)
  • the zero-forcing equivalent channel parameter (i ⁇ fi) -1 ; ⁇ can be obtained according to (17). It should be noted that: the first detection parameter d.
  • the second detection parameter C 2 and the number of zero-forcing equivalent channels (i ⁇ fi)-" may be different by different equivalent transformations, for example: In the formula
  • Step 302 The receiving end receives the received signal in the D-STTD mode. Where the receiving end receives
  • the received signal in D-STTD mode can be represented by the equivalent receiving matrix in (10).
  • Step 303 The receiving end acquires a transmitting signal of the transmitting end according to the zero-forcing equivalent channel parameter and the received signal.
  • the transmission signal is represented in the embodiment by an equivalent emission matrix s in (10).
  • the receiving end may multiply the zero-forcing equivalent channel parameter (i ⁇ fi) -1 ⁇ with the received signal y to obtain the transmitting signal S sent by the transmitting end, and the process may be performed by the following formula (20) Said.
  • H3 ⁇ 4 H ⁇ Y H3 ⁇ 4 H3 ⁇ 4S+ H3 ⁇ 4 H
  • step 304 the receiving end determines whether the first detection parameter is greater than the second detection parameter; The first detection parameter is greater than the second detection parameter; the signal corresponding to the first detection parameter is used as a detection signal, and the detection signal corresponding to the first detection parameter is detected from the transmission signal, and the corresponding The signal of the second detection parameter is used as the analysis signal; if the receiving end determines that the first detection parameter is smaller than the second detection parameter; The signal of the detection parameter is used as a detection signal, and the detection signal corresponding to the second detection parameter is detected from the transmission signal, and the signal corresponding to the first detection parameter is used as an analysis signal.
  • the step 304 can be implemented as follows: The receiving end determines whether ( ⁇ is greater than C2, and if the receiving end determines that it is greater than C2, according to the formula (18), the size of the Post-SNR depends on the signal S1 of the d, s 2 as a detection signal, i.e., corresponding to d, Sl, s 2 as a detection signal, detected start S s 2,. as greater than C 2 s 2 then the SNR is high, in which case, the correct detection of s 2 4 The rate is higher; and S 3 and S 4 corresponding to C 2 are used as analytical signals;
  • the receiver determines that C 2 is greater than d, in accordance with (19) shows that the size of the Post-SNR is depending on the C 2 S 3, s 4, i.e. of the corresponding C s 3 2, s 4 as a detection signal, first s 3 , s 4 are detected from S. Since C 2 is greater than s 3 , s 4 has a higher signal-to-noise ratio. At this time, the probability of detecting s 3 and s 4 is higher; and corresponding C ⁇ Sl , s 2 is used as the analysis signal. Note that: in the detection process may also remove noise, i.e. ⁇ (2 0) in the formula) Effect of ⁇ ⁇ ⁇ ⁇ portion detection signal.
  • Step 305 The receiving end cancels the interference of the detection signal on the parsed signal, and parses the parsed signal after the interference according to the STBC analysis to improve the detection rate of the parsed signal.
  • Step 305 can be implemented as follows: The receiving end subtracts Si, S 2 from S 3 obtained from S. Therefore, the interference of S l 7 S 2 to S 3 is eliminated; similarly, the receiving end simultaneously subtracts S1 and S2 from s 4 obtained from S, thereby eliminating S1 and interference to s 4 .
  • the receiving end combines the s 3 and s 4 after the interference cancellation, and uses STBC to analyze the signals combined by s 3 and s 4 .
  • the improved ZF-SIC receiving method acquires a transmitting signal according to a parameter acquired by channel information in an equivalent channel model, and further determines a detection signal and a solution in the transmitted signal.
  • the method of analyzing the signal finds the analytical signal that needs to be detected and needs to eliminate the interference, and then restores each signal in the transmitted signal.
  • the entire method of acquiring the transmitted signal does not need to be iterated, nor does it need to obtain the violation of the channel matrix, and it is not necessary to sort the signal-to-noise ratio of each layer in order to find the layer with the largest signal-to-noise ratio for interference cancellation, and obvious optimization.
  • the receiving method of the receiving end in the D-STTD mode
  • This embodiment specifically provides a D-STTD mode receiving method, which can be considered as an improved LMMSE-SIC receiving method.
  • fi"3 ⁇ 4 can be obtained, and the LMMSE system can be obtained according to the formula (21).
  • the Post-SNR of Si, s 2 obtained according to (21) is:
  • the Post-SNR of s 3 , s 4 is:
  • the method in this embodiment is as shown in FIG. 5, and includes:
  • Step 401 The receiving end acquires a first detection parameter, a second detection, and a mean square error equivalent channel parameter suitable for obtaining a transmission signal from a receiving method of the LMMSE-SIC according to channel information in an equivalent channel model in the D-STTD mode.
  • the receiving end acquires the first detection parameter d, the second detection parameter C 2 , and the mean square error suitable for acquiring the transmission signal from the receiving method of the LMMSE-SIC according to the channel information in fi in (10) Equivalent channel parameter (fi H fi + ⁇ 2 ⁇ ) — 1 ⁇ ⁇ .
  • first detection parameter C ⁇ . C 2 is the same as the method in the embodiment 3 and can be obtained by the formulas (13) and (14).
  • the mean square error equivalent channel parameter ( ⁇ ⁇ ⁇ + ⁇ 2 ⁇ ) -11 can be obtained according to (21).
  • the first detection parameter d. the second detection parameter C 2 and the mean square error are equivalent
  • the channel parameters (fiHfi + o 2 ⁇ 11 can be different by different equivalent transformations, for example: will (21)
  • Step 402 The receiving end receives the received signal in the D-STTD mode. Where the receiving end receives
  • the received signal in D-STTD mode can be represented by the equivalent reception matrix F in (10).
  • Step 403 The receiving end acquires a transmitting signal of the transmitting end according to the mean square error equivalent channel parameter and the received signal.
  • the transmitted signal is represented in the embodiment by an equivalent emission matrix s in (10).
  • the receiving end may multiply the mean square error equivalent channel parameter ( ⁇ + ⁇ 2 ⁇ 1 !! 11 and the received signal to obtain a transmission signal sent by the transmitting end, and the process may be as follows (24) Expression ⁇
  • Y HS + N step 404, the receiving end determines whether the first detection parameter is greater than the second detection parameter; The receiving end determines that the first detection parameter is greater than the second detection parameter; and the signal corresponding to the first detection parameter is used as a detection signal, and the detection signal corresponding to the first detection parameter is detected from the transmission signal, And the signal corresponding to the second detection parameter is used as the analysis signal; if the receiving end determines that the first detection parameter is smaller than the second detection parameter; then the signal corresponding to the second detection parameter is used as the detection signal, from the transmission signal The detection signal corresponding to the second detection parameter is detected, and the signal corresponding to the first detection parameter is used as an analysis signal.
  • step 404 can be implemented as follows: The receiving end determines ( ⁇ is greater than C 2 , If the receiving end determines that it is greater than C 2 , then according to the formula ( 22 ), the signal S1 , s 2 , which corresponds to the size of the Post-SNR, is corresponding to C ⁇ Sl , s 2 as the detection signal, and is detected from S first. Sl , s 2 ,. Because it is greater than C 2 , the signal-to-noise ratio of s 2 is relatively high. At this time, the probability of detecting s 2 is higher; and s 3 and s 4 corresponding to C 2 are used as analytical signals;
  • the receiver determines that C 2 is greater than d, in accordance with (23) shows that the size of the Post-SNR is dependent on the signal s 2 to C 3, s 4, i.e., corresponding to the C 2 S 3, s 4 as a detection signal, first s 3 , s 4 are detected from S. Since C 2 is greater than s 3 , s 4 has a higher signal-to-noise ratio. At this time, the probability of detecting s 3 and s 4 is higher; and corresponding C ⁇ Sl , s 2 is used as the analysis signal. It should be noted that noise can also be eliminated during the detection process, that is, the influence of the H ⁇ 1 H HN portion of the equation (24) on the detection signal.
  • Step 405 The receiving end cancels the interference of the detection signal on the analysis signal, and eliminates the interference analysis signal according to the STBC analysis to improve the detection rate of the analysis signal.
  • the detection signal is S1 , s 2
  • the analysis signal is s 3 , s 4 as an example.
  • Step 405 can be implemented as follows: The receiving end subtracts S1 and S2 from s 3 obtained in S , thereby Eliminate the interference of Sl and s 2 on s 3 and use STBC to resolve the s 3 after interference cancellation. Similarly, the receiving end subtracts Si, s 2 from s 4 obtained from S, thereby eliminating Si, s 2 The interference to s 4 is analyzed by STBC to eliminate the combined signals of s 3 and s 4 after the interference.
  • the improved LMMSE-SIC receiving method acquires a transmitting signal according to parameters acquired by channel information in an equivalent channel model, and further determines a need for detection by determining a detection signal and a signal for analyzing the transmitted signal. It is necessary to eliminate the interference analysis signal, and then restore each signal in the transmission signal.
  • the entire method of acquiring the transmitted signal does not need to be iterated, and there is no need to obtain the violation of the channel matrix, and it is not necessary to sort the signal to noise ratio of each layer in order to find the most
  • the large signal-to-noise ratio layering performs interference cancellation, which significantly optimizes the receiving method of the receiving end in the D-STTD mode, and reduces the complexity of the LMMSE-SIC receiving method.
  • This embodiment specifically provides a method for receiving a D-STTD mode based on block diagonalization, and the method is applicable to a receiving end, or a filter on the receiving end. As shown in Figure 6, the method includes:
  • Step 501 Obtain a diagonalization parameter according to channel information in an equivalent channel model in the D-STTD mode.
  • the equivalent channel model may be the equivalent channel matrix fi in (10), and the diagonalization parameter includes at least: a first diagonalization parameter for canceling interference in the received signal in the D-STTD mode Group and second diagonalization parameter set.
  • the first diagonalization parameter set and the second diagonalization parameter set can be obtained by the following formulas (25) and (26).
  • first diagonalization parameter group and the second diagonalization parameter group may be different by different equivalent transformations, for example: (3), or (26) 2 from its corresponding
  • the matrix is proposed, etc., and the specific form will not be described here. However, these should all fall within the scope protected by the embodiments of the present invention.
  • Step 502 Configure linear filtering ⁇ L according to the first diagonalization parameter group and the second diagonalization parameter group, and receive a received signal in the D-STTD mode by using the linear filter to cancel the received signal.
  • the received signal in step 502 can be represented by an equivalent receive matrix Y.
  • the linear filter G receives ⁇ in the D-STTD mode to eliminate interference in Y. Therefore, after Y passes through the linear filter G, the interference in Y can be eliminated because of the following principle:
  • Step 503 Acquire the received signal after the interference according to the STBC analysis to obtain the transmitting signal of the transmitting end.
  • the embodiment provides a receiving end 600.
  • the receiving end 600 includes: a parameter obtaining unit 61, a receiving unit 62, a signal acquiring unit 63, and a determining unit 64.
  • a parameter obtaining unit 61 configured to acquire a detection parameter and an equivalent channel parameter according to channel information in an equivalent channel model in the D-STTD mode
  • a receiving unit 62 configured to receive a received signal in the D-STTD mode
  • the signal acquiring unit 63 And acquiring, according to the equivalent channel parameter acquired by the parameter obtaining unit 61 and the received signal received by the receiving unit 62, a transmitting signal of the transmitting end; the determining unit 64, configured to use the detecting parameter acquired by the parameter acquiring unit 61
  • the detection signal and the analysis signal in the transmission signal acquired by the signal acquisition unit 63 are determined.
  • the parameter obtaining unit 61 includes at least one of the following:
  • a zero forcing module 611 configured to acquire an equivalent channel model corresponding to a channel in a D-STTD mode a detection parameter, a second detection parameter, and a zero-forcing equivalent channel parameter suitable for acquiring a transmission signal from a receiving method of the ZF-SIC;
  • the mean square error module 612 is configured to obtain a first detection parameter, a second detection parameter, and a transmission suitable for receiving from the LMMSE-SIC according to an equivalent channel model corresponding to the channel in the D-STTD mode.
  • the mean square error of the signal is equivalent to the channel parameter.
  • the determining unit 64 includes: a determining module 641 and a detecting module 642.
  • the determining module 641 is configured to determine whether the first detection parameter is greater than the second detection parameter, and the detecting module 642 is configured to: when the determining module 641 determines that the first detection parameter is greater than the second detection parameter, The signal of the first detection parameter is used as a detection signal, and the detection signal corresponding to the first detection parameter is detected from the transmission signal, and the signal corresponding to the second detection parameter is used as an analysis signal; when the determination module 641 determines the When the first detection parameter is smaller than the second detection parameter, the signal corresponding to the second detection parameter is used as a detection signal, and the detection signal corresponding to the second detection parameter is detected from the transmission signal, and the first corresponding The signal of the detected parameter is used as an analytical signal.
  • receiving end 600 may further include the following optional modules:
  • the interference cancellation unit 65 is configured to eliminate interference of the detection signal on the parsed signal
  • the parsing unit 66 is configured to parse the interference cancellation signal by the interference cancellation unit 65 according to the space time block code.
  • the receiving end provided by the embodiment of the present invention can obtain a transmission signal according to parameters acquired by channel information in the equivalent channel model, and further find a method for detecting and needing to eliminate interference by determining a detection signal and a signal for analyzing the signal in the transmission signal.
  • the signals are resolved, and each of the signals in the transmitted signal is restored.
  • the entire method of acquiring the transmitted signal does not need to be iterated, and it is not necessary to obtain the violation of the channel matrix, and it is not necessary to sort the signal to noise ratio of each layer in order to find the layer with the largest signal to noise ratio for interference cancellation, and reduce the reception.
  • the complexity of the end optimizes the design of the receiver. Example 7
  • This embodiment provides a linear filter 700 for processing a received signal.
  • the linear filter 700 includes: a diagonalization unit 71, and a filter unit 73.
  • the diagonalization unit 71 is configured to obtain a diagonalization parameter according to the channel information in the equivalent channel model in the D-STTD mode; the filtering unit 73 receives the received signal in the D-STTD mode, to obtain the interference after the interference cancellation Receiving a signal, wherein the filtering unit 73 is configured according to the diagonalization parameter acquired by the diagonalizing unit.
  • the linear filter 700 may further include: a parsing unit 74.
  • the parsing unit 74 is configured to obtain, according to the space-time block code parsing filtering unit, the interference received signal to obtain the transmitting signal of the transmitting end.
  • the parsing unit 74 is incorporated in the linear filter 700.
  • the linear filter 700 can not only filter but also parse the signal.
  • the linear filter 700 may not include the parsing unit 74, and only performs the filtering function.
  • the embodiment provides a linear filter design of the D-STTD system, which can be used for eliminating interference, linearly processing the received signal, and effectively implementing block diagonalization of the communication system in the D-STTD mode, which not only eliminates the STBC.
  • the received interference between each transmit diversity, and the received transmit diversity can still be independently solved by the STBC method, the method is simple, no iteration and matrix inversion are needed.
  • the embodiment provides a receiving end, the receiving end comprising a linear filter, and the linear filter can be a linear filter 700 as described in Embodiment 7.
  • the receiving end provided by the embodiment effectively implements block diagonalization of the MIMO communication system in the D-STTD mode, and does not need to violate the channel matrix, and does not need to
  • the signal-to-noise ratio is sorted to find the layer with the largest signal-to-noise ratio for interference cancellation.
  • the design of the receiving end in D-STTD mode is optimized, and the design of the receiving end is reduced.
  • the present invention can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is a better implementation. the way.
  • the technical solution of the present invention which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a readable storage medium, such as a floppy disk of a computer. , a hard disk or an optical disk, etc., including instructions for causing a device (which may be a mobile terminal or the like) to perform the methods described in various embodiments of the present invention.

Description

双空时发射分集模式的接收方法及设备 技术领域
本发明涉及无线通信技术领域, 尤其涉及一种双空时发射分集 (Double Space Time Transmit Diversity , D-STTD )模式的接^:方法及设备。 背景技术
多入多出 ( Multiple Input Multiple Output, MIMO )技术是目前无线通信技 术领域中智能天线技术的热点, 它利用空间中增加的传输信道, 在发送端和接 收端通过采用多个天线传送信号的方法, 提高通信系统的容量和频谱利用率。
在现有的各种 MIMO接收方法中,线性 MIMO均衡接收方法以其复杂度较低 的特性得到广泛的应用。 另外, 在实际的通信系统中, 出于成本考虑, 基站通 常比终端配置更多的天线, 在这种情况下, 典型的采用 4个发射天线, 2个接收 天线的 D-STTD模式的 MIMO系统模型较为常用。
综上所述, 比较优选的是在 D-STTD模式下的采用线性 MIMO均衡接收方法 的 MIMO通信系统。
在 D-STTD模式下, 现有的线性 MIMO均衡接收方法主要包括: 迫零( Zero Forcing, ZF )结合串行干扰消除 ( Successive Interference Cancellation , SIC ) 的 ZF-SIC,以及线性最小均方误差 (Linear Minimum Mean Square Error, LMMSE) 结合 SIC的 LMMSE-SIC两种方法。
其中, ZF-SIC方法的计算流程主要如下: inirinlizarion: G i = H
i = 1 recursion: k j = arg min ||(G
where /€ \k \ ki ...
^k, = QA u, )
'·;.+】 = n一 k (H)kr
G; + i = H
= i + 4 其中, H代表等效信道的矩阵。 由上述流程的 (4)式可以看出该方法需要 进行迭代计算, 由 (1)、 (2)、 (3)、 式可以看出, 该方法在每次迭代过程中还 需要计算等效信道矩阵的伪逆, 需要选择出具有最大信噪比的分层并进行干扰 消除, 需要重新计算等效信道的矩阵。
LMMSE-SIC方法的计算流程主要如下: Initialization
Γ = r
Gt = (HHH (5)
Figure imgf000005_0001
Figure imgf000005_0002
ί ~ i + (8) 其中, H代表等效信道的矩阵。 由上述流程的 (8) 式可以看出该方法需要 进行迭代计算, 由 (5)、 (6)、 (7)、 式可以看出, 该方法在每次迭代过程中还 需要计算 LMMSE 系数, 需要选择出具有最大信噪比的分层并进行干扰消除, 需要重新计算 LMMSE系数并进行迭代。
在实现上述 D-STTD模式下线性 MIMO均衡接收方法的过程中, 发明人发 现现有技术中至少存在如下问题: 上述两种方法都需要过多冗余且大量的计算 过程, 导致接收方法过于复杂, 接收端对信号的处理能力较慢。 发明内容
本发明的实施例提供一种 D-STTD模式的接收的方法及设备, 优化线性 MIMO均衡接收方法, 降低 D-STTD模式下接收方法的复杂度。
为达到上述目的, 本发明的实施例采用如下技术方案: 一种双空时发射分集 D-STTD模式的接收方法, 包括:
根据 D-STTD模式下等效信道模型中的信道信息获取检测参数以及等效信 道参数;
接收 D-STTD模式下的接收信号;
根据所述等效信道参数与所述接收信号获取发射端的发射信号;
根据所述检测参数确定所述发射信号中的检测信号和解析信号。 一种双空时发射分集 D-STTD模式的接收方法, 包括:
根据 D-STTD模式下等效信道模型中的信道信息获取对角化参数; 通过根据所述对角化参数配置的线性滤波器接收 D-STTD模式下的接收信 号, 以消除所述接收信号中干扰。 一种接收端, 包括:
参数获取单元, 用于根据 D-STTD模式下等效信道模型中的信道信息获取 检测参数以及等效信道参数;
接收单元, 用于接收 D-STTD模式下的接收信号;
信号获取单元, 用于根据所述参数获取单元获取的等效信道参数与所述接 收单元接收到的接收信号获取发射端的发射信号;
确定单元, 用于根据所述参数获取单元获取的检测参数确定所述信号获取 单元获取到的发射信号中的检测信号和解析信号。 一种线性滤波器, 包括:
对角化单元, 用于根据 D-STTD模式下等效信道模型中的信道信息获取对 角化参数;
过滤单元, 用于接收 D-STTD模式下的接收信号, 以得到消除干扰后的接 收信号, 其中, 所述过滤单元是根据所述对角化单元获取到的对角化参数配置 的。 一种包括上述线性滤波器的接收端。
本发明实施例提供的技术方案具有如下有益效果: 无需在获取发射信号的 过程中进行迭代, 也无需获取信道矩阵的违逆, 更无需对各个分层的信噪比进 行排序以便找到最大信噪比的分层进行干扰消除, 明显的优化了 D-STTD模式 下接收端的接收方法, 降低了接收方法的复杂度, 简化了接收端的设计, 并且 本发明实施例中提供了一种现有技术中 MIMO技术上提出的线性滤波器, 可用 于消除干扰, 可对接收信号进行线性处理。 附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案, 下面将对实施 例或现有技术描述中所需要使用的附图作简单地介绍, 显而易见地, 下面描述 中的附图仅仅是本发明的一些实施例, 对于本领域普通技术人员来讲, 在不付 出创造性劳动性的前提下, 还可以根据这些附图获得其他的附图。 图 1为本发明实施例中 MIMO技术中发送接收信号的过程示意图; 图 2为本发明实施例 1中一种 D-STTD模式的接收方法的流程图示意图; 图 3为本发明实施例 2中一种 D-STTD模式的接收方法的流程图示意图; 图 4为本发明实施例 3中一种优化的 ZF-SIC接收方法的流程图示意图; 图 5为本发明实施例 4中一种优化的 LMMSE-SIC的接收方法的流程图示 意图;
图 6为本发明实施例 5中一种基于块对角化的接收方法的流程图示意图; 图 Ί为本发明实施例 6中一种接收端的结构示意图;
图 8为本发明实施例 7中一种线性滤波器的结构示意图。 具体实施方式
下面将结合本发明实施例中的附图, 对本发明实施例中的技术方案进行清 楚、 完整地描述, 显然, 所描述的实施例仅仅是本发明一部分实施例, 而不是 全部的实施例。 基于本发明中的实施例, 本领域普通技术人员在没有作出创造 性劳动前提下所获得的所有其他实施例, 都属于本发明保护的范围。 并且, 以 下各实施例均为本发明的可选方案, 实施例的排列顺序及实施例的编号与其优 选执行顺序无关。
下面先介绍一下本发明实施例中涉及到的 D-STTD模式的传输模型。
如图 1所示为 MIMO传送信号过程的示意图。 其中, ^代表发射天线的数 量, ^代表接收天线的数量, Sl、 s2 ....... 代表第 1、 2 第^个发射天线 上发射的信号, ηι、 n2...... "^代表第 1、 2 第^个接收天线上接收到的噪 声, 代表第^个接收天线与第^个发射天线之间的信道响应。 在如图 1所 示的接收机下, 采用的 4个发射天线, 2个接收天线的 (即: 4*2 ) D-STTD模式 的 MIMO通信系统的传输模型可用 (1 ) 式来表示:
Figure imgf000009_0001
Figure imgf000009_0002
是接收矩阵, 表示第 i根接收天线在第 j个符号周期 内接收到的信号, 在本发明的各个实施例中, 该接收端接收到的 Y即为接收信
Figure imgf000009_0003
是信道矩阵, 表示第 i根接收天线与第 j根发射天 线之间无线信道的信道响应, 各个 可统称为信道信息 声
矩阵, ""表示第 i根接收天线在第 j个符号周期内接收到的噪
Figure imgf000009_0004
声, 而
是发射矩, 是由发射端经过空时分组码 (Space Time Block Coding, STBC )处 理后的发射信号, S的第 j行表示第 j根发射天线上发送的信号, 第 i列表示第 i个发 射符号周期, 或者第 i个子载波。
对(9 ) 式进行等效变换, 可获得等效传输模型 (10 )
Figure imgf000009_0005
其中, y为等效接收矩阵; fi为等效信道矩阵, 在本发明的各个实施例中, 等效信道模型可用该等效信道矩阵 fi代表, 不同的 可统称为信道信息; S为 等效发射矩阵; W为等效噪声矩阵。 由(10 )式可知, D-STTD模式的传输模型 经过变换后, 可简单表示为:
Ϋ = HS + N ( 11 ) 其中, 上述(10 ) 式是(9 ) 式的一种等效传输模型, 实际上, 对(9 ) 式 进行等效变换后还可有其它形式的等效传输模型, 在这里就不一一列举了。
实施例 1 本实施例公开一种 D-STTD模式的接收方法, 如图 2所示, 该方法包括: 步骤 101,接收端根据 D-STTD模式下等效信道模型中的信道信息获取检测 参数以及等效信道参数;
其中, 在步骤 101中的等效信道模型可为上述的等效信道矩阵¾。
步骤 102, 接收端接收 D-STTD模式下的接收信号; 其中, 该接收信号可用上述的等效接收矩阵 F来表示。
步骤 103,接收端根据所述等效信道参数与所述接收信号获取发射端的发射 信号; 其中, 该发射信号可用上述等效发射矩阵 S来表示。
步骤 104,接收端根据所述检测参数确定所述发射信号中的检测信号和解析 信号。
其中, 检测信号为无需接收端进行解析, 可直接通过接收端检测获取到发 射信号中那部分信号, 解析信号为需要接收端进行解析后获取的发射信号中那 部分信号。
本发明实施例提供的 D-STTD模式的接收方法具有如下有益效果: 根据等 效信道模型中的信道信息获取的参数获取发射信号, 并进一步确定该发射信号 中的检测信号和解析信号, 整个在获取发射信号的方法过程中无需进行迭代, 也无需获取信道矩阵的违逆, 更无需对各个分层的信噪比进行排序以便找到最 大信噪比的分层进行干扰消除, 明显的优化了 D-STTD模式下接收端的接收方 法, 降低了接收方法的复杂度。
实施例 2 本实施例提供一种 D-STTD模式的接收方法, 如图 3所示, 该方法包括: 步骤 201, 根据 D-STTD模式下等效信道模型中的信道信息获取对角化参 数;
其中, 该等效信道模型可为上述的等效信道矩阵 fi。 步骤 202, 根据所述对角化参数配置线性滤波器, 并通过根据该线性滤波器 接收 D-STTD模式下的接收信号, 以消除所述接收信号中干扰; 该步骤 202中接收信号可对应上述的等效接收矩阵 Y。
本实施例提供的方法无需在获取发射信号的过程中进行迭代, 也无需获取 信道矩阵的违逆, 更无需对各个分层的信噪比进行排序以便找到最大信噪比的 分层进行干扰消除, 降低了接收方法的复杂度, 并且本发明实施例中的方法可 适用于消除干扰, 对接收信号进行线性处理线性滤波器, 或者包含所述滤波器 的接收端, 可有效实现 D-STTD模式下块对角化的 MIMO通信系统。
实施例 3
本实施例具体提供一种 D-STTD模式的接收方法, 该方法可以认为是一种 改进的 ZF-SIC接收方法。
下面先介绍一下本实施例中的接收方法的基本原理。
根据 ( 10 ) 式中的等效信道矩阵, 有
Figure imgf000012_0001
:J<≡{1,2} (13)
Figure imgf000012_0002
^― ^11^13 + ^21^2 + ^12^14 + ^22^24 (15)
B― h h^ + h21h2412h^― h22h2^ (16)
-B I C2 0
A I 0 ,
若将( 12) 式表示成: 可以看出, ^¾的结构比 较特殊, 研究 的特殊结构, 进一步可以得至
Figure imgf000012_0003
A +\B\ —C、C
其中, D= lL2, A, B, Ci, C2的取值仍如 (13)、( 14 )、( 15 )、( 16 ) 式一样。
由 (17) 式可知, "¾的伪逆不需要通过矩阵求逆, 只需通过( 17) 式的 线性处理便可以得到, 明显减少了获取过程的复杂度。
根据 ( 17)式获取到的 Si, s2的后处理信噪比( Post -processing Signal to Noise Ratio, Post-SNR )为:
C,C2 _(|A| +|B| )
SNR,, = (k = l,2) ( 18) s3, s4的 Post-SNR为:
Figure imgf000013_0001
其中, σ 2代表接收信号的噪声方差。 Sl, s2具有相同的信噪比, s3, s4具 有相同的信噪比。 因为 sl 7 s2的 Post-SNR经计算后皆为( 18 )式, 所以 sl 7 s2具 有相同的信噪比。 同理 S3, S4 也是。
通过(18 )、 (19 ) 式可以看出, 如果 d〉C2, 则 SNRi>SNR2 , 说明 的信噪比较高, 此时, 检测 Sl, s2正确的概率便较高; 如果 d<C2, 则 SNRi<SNR2 , 说明 s3,s4的信噪比比较高, 此时, 检测 s3, s4正确的概率便较 高。
基于上述原理, 本实施例中的方法如图 4所示, 包括:
步骤 301,接收端根据 D-STTD模式下等效信道模型中的信道信息获取第一 检测参数、 第二检测以及适合从 ZF-SIC的接收方法中获取发射信号的迫零等效 信道参数。
具体地可通过如下方式实现: 接收端根据( 10 )式中的 fi中的信道信息, 即 h 获取第一检测参数 d, 第二检测参数 C2, 以及适合从 ZF-SIC的接收方法中 获取发射信号的迫零等效信道参数 (i^fi)-1
其中, 该第一检测参数 可通过下述( 13 )式获得:
Figure imgf000013_0002
( 14)
{l,2 {3,4} 该迫零等效信道参数 (i^fi)-1;^可根据 ( 17) 式获得。 需要说明的是: 该第一检测参数 d.第二检测参数 C2以及该迫零等效信道 数 (i^fi)- "可以通过不同的等效变换而有所不同, 例如: 将(17)式中的丄等
0 A B
0 c2 B* A*
效变换到矩阵 中等, 具体形式在此就不赘述了。 但这些
A* -B C, 0
A 0 -c,
都应属于本发明实施例所保护的范围之内。 步骤 302, 接收端接收 D-STTD模式下的接收信号。 其中, 该接收端接收的
D-STTD模式下的接收信号可用 (10) 式中的等效接收矩阵 代表。
步骤 303,接收端根据所述迫零等效信道参数与所述接收信号获取发射端的 发射信号。其中,该发射信号在本实施例中用可(10)中的等效发射矩阵 s代表。 具体地, 接收端可将该迫零等效信道参数 (i^fi)—1^与接收信号 y进行相乘, 从而获取发射端发送的发送信号 S, 该过程可通过下述(20) 式表示。
H¾ H^Y= H¾ H¾S+ H¾ H
「 1— (20)
=S+ H^H) "ΆΗΝ 其中, 根据式(11 )可知, Y = HS + N 步骤 304, 接收端判断所述第一检测参数是否大于所述第二检测参数; 如果接收端判定所述第一检测参数大于所述第二检测参数; 则将对应第一 检测参数的信号作为检测信号, 从所述发射信号中将所述对应第一检测参数的 检测信号检测出来, 并将对应第二检测参数的信号作为解析信号; 如果接收端判定所述第一检测参数小于所述第二检测参数; 则将对应第二 检测参数的信号作为检测信号, 从所述发射信号中将所述对应第二检测参数的 检测信号检测出来, 并将对应第一检测参数的信号作为解析信号。
具体地, 步骤 304可通过如下方式实现: 接收端判断(^是否大于 C2, 如果接收端判定 大于 C2, 则根据 ( 18 )式可知, 将 Post-SNR 的大小取 决于 d的信号 Sl, s2作为检测信号, 即对应 d的 Sl, s2作为检测信号,先从 S中 检测出 s2,。 因为 大于 C2则说明 s2的信噪比较高, 此时, 检测 s2 正确的 4既率便较高; 并将对应 C2的 S3, S4作为解析信号;
如果接收端判定 C2大于 d, 则根据 ( 19 ) 式可知, 将 Post-SNR 的大小取 决于 C2的信号 s3, s4, 即对应 C2的 s3, s4作为检测信号, 先从 S中检测出 s3, s4。 因为 C2大于 则说明 s3, s4的信噪比较高, 此时, 检测 s3, s4正确的概率 便较高; 并将对应 C^々Sl, s2作为解析信号。 需要说明的是: 在检测过程中还可消除噪声, 即(20 )式中的 Η) Χ ΗΗ Ν 部分对检测信号的影响。
步骤 305,接收端消除检测信号对解析信号的干扰, 并根据 STBC解析消除 干扰后的解析信号, 以提高解析信号的检测率。
具体地, 以检测信号为 Sl, s2, 解析信号为 s3, s4为例, 步骤 305可通过如 下方式实现: 接收端将从 S中获取到的 S3中减去 Si, S2, 从而消除 Sl 7 S2对 S3的 干扰; 同理, 接收端同时将从 S中获取到的 s4中减去 SlS2, 从而消除 Sl, 对 s4的干扰。 接收端将消除干扰后的 s3和 s4联合起来, 用 STBC解析 s3和 s4联合 后的信号。
本发明实施例提供的改进的 ZF-SIC接收方法根据等效信道模型中的信道信 息获取的参数获取发射信号, 并进一步通过确定该发射信号中的检测信号和解 析信号的方法, 找到需要检测和需要消除干扰的解析信号, 进而将发射信号中 的各个信号还原出来。 整个在获取发射信号的方法过程中无需进行迭代, 也无 需获取信道矩阵的违逆, 更无需对各个分层的信噪比进行排序以便找到最大信 噪比的分层进行干扰消除, 明显的优化了 D-STTD模式下接收端的接收方法,
Q 1
降低了 ZF-SIC接收方法的复杂度。
实施例 4
本实施例具体提供一种 D-STTD模式的接收方法, 该方法可以认为是一种 改进的 LMMSE-SIC接收方法。
下面先介绍一下本实施例中的接收方法的基本原理。
根据 ( 12) 式可以获取到 fi"¾, 根据该 可通(21 ) 式获取 LMMSE 系
C2 - σ A B
0 ■C2-a2 -B* A*
ΗΛΗ+σ I 2
A* -B 0
B* A
(21 ) 其中, D = |A| +|B| - (^+σ )(C2 +。), σ2为噪声方差, I为单位矩阵, A, B, Ci, C2的取值仍如 (13)、 (14)、 (15)、 ( 16) 式一样。
同样, 由(21 )式可知, LMMSE系数的逆并不需要通过矩阵求逆获得, 只 需通过(21 ) 式的线性处理就可以得到, 明显减少了获取 LMMSE 系数过程的 复杂度。
根据 (21 ) 式获取到的 Si, s2的 Post-SNR为:
Figure imgf000017_0001
s3, s4的 Post-SNR为:
(ς+σ2)(ί:22) - +
SNR, = (23)
σ2(ς+σ2) 其中, Sl, s2具有相同的信噪比, s3, s4具有相同的信噪比。
通过(22)、 (23 ) 式可以看出, 如果 d〉C2, 则 SNR'i>SNR'2 , 说明 Sj, s2的信噪比较高, 此时, 检测 Si, s2正确的概率便较高; 如果 d<C2, 则 SNRi'<SNR2', 说明 s3, s4的信噪比比较高, 此时, 检测 s3, s4正确的概率便较 高。
基于上述原理, 本实施例中的方法如图 5所示, 包括:
步骤 401,接收端根据 D-STTD模式下等效信道模型中的信道信息获取第一 检测参数、 第二检测以及适合从 LMMSE-SIC 的接收方法中获取发射信号的均 方误差等效信道参数。
具体地, 接收端根据( 10) 式中的 fi中的信道信息, 即 获取第一检测参 数 d, 第二检测参数 C2, 以及适合从 LMMSE-SIC的接收方法中获取发射信号 的均方误差等效信道参数 (fiHfi + σ2Ι)— 1 ΗΗ
其中,该第一检测参数 C^。C2与实施 3中的方法相同,可通过(13)、(14) 式获得。
该均方误差等效信道参数 (ΐίΗΐί + σ2Ι)— 11可根据 (21 ) 式获得。
需要说明的是: 该第一检测参数 d.第二检测参数 C2以及该均方误差等效 信道参数 (fiHfi + o2^ 11可以通过不同的等效变换而有所不同, 例如: 将(21 )
C2 -az 0 A B
0 - C2 -o2 -B* A*
式中的丄等效变换到矩阵
D A* -B -C, -σ2 0 中等。具体形式
B* A 0 - -σ 在此就不赘述了。 但这些都应属于本发明实施例所保护的范围之内。 步骤 402, 接收端接收 D-STTD模式下的接收信号。 其中, 该接收端接收的
D-STTD模式下的接收信号可用 (10 ) 式中的等效接收矩阵 F代表。
步骤 403,接收端根据所述均方误差等效信道参数与所述接收信号获取发射 端的发射信号。 其中, 该发射信号在本实施例中用可( 10 ) 中的等效发射矩阵 s 代表。 具体地, 接收端可将该均方误差等效信道参数 (βΗβ + σ2^—1!!11与接收信号 进行相乘,从而获取发射端发送的发送信号 该过程可通过下述(24 )式表示 <
〜 〜 1〜! 〜 〜 〜 1〜!!〜〜 〜 〜 \~ 1〜 〜
ΗΗΗ + σ2Ι ΗΗΥ = ΗΗΗ + σ2Ι HHHS + ΗΗΗ + σ2Ι HHN
( 24 )
S + (HHH + o2l ) HHN 其中, 根据式(11 )可知, Y = HS + N 步骤 404, 接收端判断所述第一检测参数是否大于所述第二检测参数; 如果接收端判定所述第一检测参数大于所述第二检测参数; 则将对应第一 检测参数的信号作为检测信号, 从所述发射信号中将所述对应第一检测参数的 检测信号检测出来, 并将对应第二检测参数的信号作为解析信号; 如果接收端判定所述第一检测参数小于所述第二检测参数; 则将对应第二 检测参数的信号作为检测信号, 从所述发射信号中将所述对应第二检测参数的 检测信号检测出来, 并将对应第一检测参数的信号作为解析信号。 具体地, 步骤 404可通过如下方式实现: 接收端判断(^是否大于 C2, 如果接收端判定 大于 C2, 则根据 ( 22 ) 式可知, 将 Post-SNR 的大小取 决于 的信号 Sl, s2, 即对应 C^々 Sl, s2作为检测信号, 先从 S中检测出 Sl, s2,。 因为 大于 C2则说明 s2的信噪比较高, 此时, 检测 s2正确的概率 便较高; 并将对应 C2的 s3, s4作为解析信号;
如果接收端判定 C2大于 d, 则根据 ( 23 ) 式可知, 将 Post-SNR 的大小取 决于 C2的信号 s3, s4, 即对应 C2的 s3, s4作为检测信号, 先从 S中检测出 s3, s4。 因为 C2大于 则说明 s3, s4的信噪比较高, 此时, 检测 s3, s4正确的概率 便较高; 并将对应 C^々Sl, s2作为解析信号。 需要说明的是: 在检测过程中还可消除噪声, 即(24 )式中的 H丫1 HH N 部分对检测信号的影响。
步骤 405,接收端消除检测信号对解析信号的干扰, 并根据 STBC解析消除 干扰后的解析信号, 以提高解析信号的检测率。
具体地, 以检测信号为 Sl, s2, 解析信号为 s3, s4为例, 步骤 405可通过如 下方式实现: 接收端将从 S中获取到的 s3中减去 SlS2, 从而消除 Sl, s2对 s3的 干扰, 并用 STBC解析消除干扰后的 s3 ; 同理, 接收端同时将从 S中获取到的 s4 中减去 Si, s2, 从而消除 Si, s2对 s4的干扰, 并用 STBC解析消除干扰后的 s3和 s4联合起来的信号。
本发明实施例提供的改进的 LMMSE-SIC接收方法根据等效信道模型中的 信道信息获取的参数获取发射信号, 并进一步通过确定该发射信号中的检测信 号和解析信号的方法, 找到需要检测和需要消除干扰的解析信号, 进而将发射 信号中的各个信号还原出来。 整个在获取发射信号的方法过程中无需进行迭代, 也无需获取信道矩阵的违逆, 更无需对各个分层的信噪比进行排序以便找到最 大信噪比的分层进行干扰消除, 明显的优化了 D-STTD模式下接收端的接收方 法, 降低了 LMMSE-SIC接收方法的复杂度。
实施例 5
本实施例具体提供一种基于块对角化的 D-STTD模式的接收方法, 该方法 适用于接收端, 或者该接收端上的滤波器。 如图 6所示, 该方法包括:
步骤 501, 根据 D-STTD模式下等效信道模型中的信道信息获取对角化参 数;
其中, 该等效信道模型可为( 10)式中的等效信道矩阵 fi, 并且所述对角化 参数至少包括: 用以消除 D-STTD模式下接收信号中干扰的第一对角化参数组 和第二对角化参数组。
该第一对角化参数组和第二对角化参数组可通过下述(25)、 (26)式获取。
Figure imgf000020_0001
C/Z2 D/Z2
-Ό ΖΊ (26)
C*/Z
^ =— h h
13 23
D― h22f 1― h2h2
+ 24
= \h 11 + 12
需要说明的是: 第一对角化参数组和第二对角化参数组可以通过不同的等 效变换而有所不同, 例如: 将(25)式中的 , 或(26)式中的 Z2从其对应的 矩阵中提出来等,具体形式在此就不赘述了。但这些都应属于本发明实施例所保 护的范围之内
步骤 502, 根据所述第一对角化参数组和第二对角化参数组配置线性滤波 <L, 并通过该线性滤波器接收 D-STTD模式下的接收信号, 以消除所述接收信 号中干扰;
该步骤 502中接收信号可通过等效接收矩阵 Y来表示。
Figure imgf000021_0001
通过该线性滤波器 G接收 D-STTD模式下的¥, 以消除 Y中的干扰。 之所 以在 Y通过线性滤波器 G后, 可以消除 Y中的干扰, 是因为如下原理:
本实施例中的线性滤波器 G与等效信道矩阵相乘后可将等效信道矩阵对角 化为:
E F 0 0
F* -E 0 0
GH =
0 0 P Q
0 0 0s -P (27)
E = Ah2l + Bh2
F = Ah22-Bh
P = Ch +Dhl
Q = Chl4-Dhx 因为 (11 ) 式中的 γ = ] S + N
所以
GY = GHS + GN 付( 7 )式代入, 即可获得下述( 28 )
Figure imgf000022_0001
( 08、 步骤 503,根据 STBC解析消除干扰后的接收信号从而获取发射端的发射信 号。
由 (28 ) 式此可以看出, 本实施例提供的方案有效的实现了 D-STTD模式 下通信系统的块对角化, 消除了 STBC对 (s s2)与 STBC对 (s3, s4)之间的干扰。 而 STBC对 (s s2), STBC对 (s3, s4)仍可以独立采用 STBC方法进行求解, 方 法简单, 无需进行迭代以及矩阵求逆。
实施例 6
本实施例提供一种接收端 600, 如图 7所示, 该接收端 600包括: 参数获取 单元 61, 接收单元 62, 信号获取单元 63, 确定单元 64。
参数获取单元 61, 用于根据 D-STTD模式下等效信道模型中的信道信息获 取检测参数以及等效信道参数; 接收单元 62, 用于接收 D-STTD模式下的接收 信号; 信号获取单元 63, 用于根据所述参数获取单元 61获取的等效信道参数与 所述接收单元 62接收到的接收信号获取发射端的发射信号; 确定单元 64, 用于 根据所述参数获取单元 61获取的检测参数确定所述信号获取单元 63获取到的 发射信号中的检测信号和解析信号。
其中, 参数获取单元 61包括如下中的至少一项:
迫零模块 611,用于根据 D-STTD模式中与信道对应的等效信道模型获取第 一检测参数、 第二检测参数以及适合从 ZF-SIC的接收方法中获取发射信号的迫 零等效信道参数;
均方误差模块 612,用于根据 D-STTD模式中与信道对应的等效信道模型从 所述接收信号中获取第一检测参数、 第二检测参数以及适合从 LMMSE-SIC 的 接收方法中获取发射信号的均方误差等效信道参数。
在本实施例中, 确定单元 64包括: 判断模块 641, 检测模块 642。
判断模块 641, 用于判断所述第一检测参数是否大于所述第二检测参数; 检测模块 642,用于当判断模块 641判定所述第一检测参数大于所述第二检 测参数时, 将对应第一检测参数的信号作为检测信号, 从所述发射信号中将所 述对应第一检测参数的检测信号检测出来, 并将对应第二检测参数的信号作为 解析信号; 当判断模块 641 判定所述第一检测参数小于所述第二检测参数时, 将对应第二检测参数的信号作为检测信号, 从所述发射信号中将所述对应第二 检测参数的检测信号检测出来, 并将对应第一检测参数的信号作为解析信号。
另外, 该接收端 600还可包括如下可选模块:
干扰消除单元 65, 用于消除检测信号对解析信号的干扰;
解析单元 66,用于根据空时分组码解析干扰消除单元 65消除干扰后的解析 信号。
本发明实施例提供的接收端可根据等效信道模型中的信道信息获取的参数 获取发射信号, 并进一步通过确定该发射信号中的检测信号和解析信号的方法, 找到需要检测和需要消除干扰的解析信号, 进而将发射信号中的各个信号还原 出来。 整个在获取发射信号的方法过程中无需进行迭代, 也无需获取信道矩阵 的违逆, 更无需对各个分层的信噪比进行排序以便找到最大信噪比的分层进行 干扰消除, 降低了接收端的复杂度, 优化了接收端设计。 实施例 7
本实施例提供一种线性滤波器 700, 用于处理接收信号。 如图 8所示, 该线 性滤波器 700包括: 对角化单元 71, 过滤单元 73。
对角化单元 71, 用于根据 D-STTD模式下等效信道模型中的信道信息获取 对角化参数; 过滤单元 73, 接收 D-STTD模式下的接收信号, 以得到消除干扰 后的所述接收信号, 其中, 所述过滤单元 73是根据所述对角化单元获取到的对 角化参数配置的。
本实施例中, 该线性滤波器 700还可包括: 解析单元 74。
解析单元 74, 用于根据空时分组码解析过滤单元消除干扰后的接收信号从 而获取发射端的发射信号。
需要说明的是,在本发明实施例中,该解析单元 74是结合在线性滤波器 700 中的, 此时说明该线性滤波器 700 不仅可以滤波还可以解析信号。 但是根据设 计的需要, 线性滤波器 700也可以不包括该解析单元 74, 仅执行滤波功能。
本实施例提供了一种 D-STTD 系统的线性滤波器设计, 可用于消除干扰, 可对接收信号进行线性处理,有效的实现 D-STTD模式下 通信系统的块对角化, 不仅可消除 STBC对接收到的各发射分集之间干扰, 并且接收到的各发射分集 仍可以独立采用 STBC方法进行求解, 方法简单, 无需进行迭代以及矩阵求逆。
实施例 8
本实施例提供一种接收端, 该接收端包括一种线性滤波器, 所述线性滤波 器可如实施例 7中所述的线性滤波器 700。
本实施例提供的接收端在对接收信号进行处理的过程中, 有效的实现 D-STTD模式下 MIMO通信系统的块对角化, 无需对信道矩阵进行的违逆, 更 无需对各个分层的信噪比进行排序以便找到最大信噪比的分层进行干扰消除, 优化了 D-STTD模式下接收端的设计, 降低了接收端的设计。
通过以上的实施方式的描述, 所属领域的技术人员可以清楚地了解到本发 明可借助软件加必需的通用硬件平台的方式来实现, 当然也可以通过硬件, 但 很多情况下前者是更佳的实施方式。 基于这样的理解, 本发明的技术方案本质 上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来, 该计算 机软件产品存储在可读取的存储介质中, 如计算机的软盘, 硬盘或光盘等, 包 括若干指令用以使得一台设备(可以是移动终端等)执行本发明各个实施例所 述的方法。
以上所述, 仅为本发明的具体实施方式, 但本发明的保护范围并不局限于 此, 任何熟悉本技术领域的技术人员在本发明揭露的技术范围内, 可轻易想到 变化或替换, 都应涵盖在本发明的保护范围之内。 因此, 本发明的保护范围应 所述以权利要求的保护范围为准。

Claims

权利要求书
1、 一种双空时发射分集 D-STTD模式的接收方法, 其特征在于, 包括: 根据 D-STTD模式下等效信道模型中的信道信息获取检测参数以及等效信 道参数;
接收 D-STTD模式下的接收信号;
根据所述等效信道参数与所述接收信号获取发射端的发射信号;
根据所述检测参数确定所述发射信号中的检测信号和解析信号。
2、 根据权利要求 1所述的方法, 其特征在于, 所述获取检测参数以及等效 信道参数包括:
获取第一检测参数、 第二检测参数以及适合从迫零结合串行干扰消除 sic 的接收方法中获取发射信号的迫零等效信道参数; 或者
获取第一检测参数、 第二检测参数以及适合从线性最小均方误差结合 SIC 的接收方法中获取发射信号的均方误差等效信道参数。
3、 根据权利要求 2所述的方法, 其特征在于, 所述根据所述检测参数确定 所述发射信号中的检测信号和解析信号包括:
判断所述第一检测参数是否大于所述第二检测参数;
如果判定所述第一检测参数大于所述第二检测参数; 则将对应第一检测参 数的信号作为检测信号, 从所述发射信号中将所述对应第一检测参数的检测信 号检测出来, 并将对应第二检测参数的信号作为解析信号;
如果判定所述第一检测参数小于所述第二检测参数; 则将对应第二检测参 数的信号作为检测信号, 从所述发射信号中将所述对应第二检测参数的检测信 号检测出来, 并将对应第一检测参数的信号作为解析信号。
4、 根据权利要求 1至 3中任意一项所述的方法, 其特征在于, 该方法还包 括:
消除检测信号对解析信号的干扰;
根据空时分组码解析消除干扰后的解析信号。
5、 一种接收端, 其特征在于, 包括:
参数获取单元, 用于根据 D-STTD模式下等效信道模型中的信道信息获取 检测参数以及等效信道参数;
接收单元, 用于接收 D-STTD模式下的接收信号;
信号获取单元, 用于根据所述参数获取单元获取的等效信道参数与所述接 收单元接收到的接收信号获取发射端的发射信号;
确定单元, 用于根据所述参数获取单元获取的检测参数确定所述信号获取 单元获取到的发射信号中的检测信号和解析信号。
6、 根据权利要求 5所述的接收端, 其特征在于, 所述参数获取单元包括如 下中的至少一项:
迫零模块, 用于根据 D-STTD模式中与信道对应的等效信道模型获取第一 检测参数、 第二检测参数以及适合从迫零结合 SIC的接收方法中获取发射信号 的迫零等效信道参数;
均方误差模块, 用于根据 D-STTD模式中与信道对应的等效信道模型从所 述接收信号中获取第一检测参数、 第二检测参数以及适合从线性最小均方误差 结合 SIC的接收方法中获取发射信号的均方误差等效信道参数。
7、 根据权利要求 6所述的接收端, 其特征在于, 所述确定单元包括: 判断模块, 用于判断所述第一检测参数是否大于所述第二检测参数; 检测模块, 用于当判断模块判定所述第一检测参数大于所述第二检测参数 时, 将对应第一检测参数的信号作为检测信号, 从所述发射信号中将所述对应 第一检测参数的检测信号检测出来, 并将对应第二检测参数的信号作为解析信 号; 当判断模块判定所述第一检测参数小于所述第二检测参数时, 将对应第二 检测参数的信号作为检测信号, 从所述发射信号中将所述对应第二检测参数的 检测信号检测出来, 并将对应第一检测参数的信号作为解析信号。
8、 根据权利要求 5至 7中任意一项所述的接收端, 其特征在于, 该接收端 还包括:
干扰消除单元, 用于消除检测信号对解析信号的干扰;
解析单元, 用于才艮据空时分组码解析消除干 4尤后的解析信号。
9、 一种双空时发射分集 D-STTD模式的接收方法, 其特征在于, 包括: 根据 D-STTD模式下等效信道模型中的信道信息获取对角化参数; 通过根据所述对角化参数配置的线性滤波器接收 D-STTD模式下的接收信 号, 以消除所述接收信号中干扰。
10、 根据权利要求 9所述的方法, 其特征在于, 该方法还包括:
根据空时分组码解析消除干扰后的接收信号从而获取发射端的发射信号。
11、 根据权利要求 9所述的方法, 其特征在于, 所述对角化参数至少包括: 消除 D-STTD模式下接收信号中干扰的第一对角化参数组和第二对角化参数组。
12、 一种线性滤波器, 其特征在于, 包括:
对角化单元, 用于根据 D-STTD模式下等效信道模型中的信道信息获取对 角化参数;
过滤单元, 用于接收 D-STTD模式下的接收信号, 以得到消除干扰后的接 收信号, 其中, 所述过滤单元是根据所述对角化单元获取到的对角化参数配置 的。
13、 根据权利要求 12所述的滤波器, 其特征在于, 该滤波器还包括: 解析单元, 用于根据空时分组码解析过滤单元消除干扰后的接收信号从而 获取发射端的发射信号。
14、 一种接收端, 其特征在于, 包括一种线性滤波器, 所述线性滤波器是 如权利要求 12或 13所述的线性滤波器。
PCT/CN2010/078333 2009-11-24 2010-11-02 双空时发射分集模式的接收方法及设备 WO2011063705A1 (zh)

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