CN208063201U - Combine input signal mimo wireless communication receiver - Google Patents
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- CN208063201U CN208063201U CN201721585837.2U CN201721585837U CN208063201U CN 208063201 U CN208063201 U CN 208063201U CN 201721585837 U CN201721585837 U CN 201721585837U CN 208063201 U CN208063201 U CN 208063201U
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- 238000007476 Maximum Likelihood Methods 0.000 claims abstract description 29
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Abstract
The utility model is related to the communication technologys, provide a kind of structure of combination input signal mimo wireless communication receiver, after adding corresponding signal detection software algorithm, it can overcome in combination input signal mimo wireless communication system at present when there are many transmitting signal way, the defect that detection complexity is too high and can not implement, technical solution can be summarized as：Combine input signal mimo wireless communication receiver, its reference signal input terminal is connect with system status information processing module, more reception antennas are connect with linearity test module, linearity test module is connect with each Maximum Likelihood Detection module respectively, each Maximum Likelihood Detection module is connected with each corresponding system output respectively, and system status information processing module is connect with each Maximum Likelihood Detection module, linearity test module and each system output respectively.The utility model has the beneficial effects that it is simple in structure, it is suitable for combination input signal mimo wireless communication system.
Description
Technical Field
The present invention relates to a communication technology, and more particularly, to a technology of a wireless communication system.
Background
The existing NOMA-MIMO (Non-Orthogonal Multiple Access-Multiple Input Multiple output) system adopts a power multiplexing method to improve system capacity and spectral efficiency, and is characterized in that different signal powers are distributed to different users at a transmitting end through a power multiplexing technology, and signals of different users are distinguished at a receiving end through Serial Interference Cancellation (SIC).
SIC adopts a strategy of eliminating interference step by step, judges users one by one in a received signal, firstly subtracts the multiple access interference generated by one user from the received signal, then judges and eliminates the multiple access interference for the rest user signals one by one, and the operation is circulated until all the multiple access interference is eliminated. However, this operation of SIC requires a sufficient difference in signal power level for each user to reduce inter-user signal interference, causes additional processing delay, and results in high receiver complexity, especially in the case of a large-scale MIMO system with an increased number of users, which is difficult to implement.
In the current MIMO system, each transmitting antenna at the transmitting end can input multiple signals, i.e. combined signals, but when the number of transmitting signal paths of one MIMO system exceeds the number of receiving antennas, conventional receiving end linear detection algorithms such as MRC (maximum signal-to-noise ratio combining), ZF (zero forcing) and MMSE (minimum mean square error) cannot be applied, and generally, ML (maximum likelihood) detection can only be adopted, such as the transmitting end described in patent No. ZL 201310223518.7 and the optimization method described in the patent application No. 201610257946.5. But the detection complexity of ML is very high, in this case, if the number of transmission signal paths is small, the detection is feasible, but if the number of transmission signal paths is large, such as a massive MIMO system, the large amount of complex operations will make the process of detecting each symbol too long to be implemented.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a structure of combination input signal MIMO wireless communication receiver after having added corresponding signal detection software algorithm, can overcome when the transmitting signal way is many in the present combination input signal MIMO wireless communication system, for example extensive MIMO system detects the too high and unable defect of implementing of complexity.
The technical solution of the present invention is to provide a combined input signal MIMO wireless communication receiver, which comprises a reference signal input terminal, a system status information processing module, a plurality of receiving antennas, and a system output terminal having a number corresponding to the number of the loading signals of the transmitting terminal, wherein the reference signal input terminal is connected to the system status information processing module, and the number of the receiving antennas is greater than or equal to the number of the transmitting antennas of the transmitting terminal, the combined input signal MIMO wireless communication receiver further comprises a linear detection module and a maximum likelihood detection module having a number corresponding to the number of the transmitting antennas of the transmitting terminal, wherein the plurality of receiving antennas are respectively connected to the respective input terminals of the linear detection module in a one-to-one correspondence, the respective output terminals of the linear detection module are respectively connected to the input terminals of the respective maximum likelihood detection modules in a one-to-one correspondence, and the respective output terminals, the system state information processing module is respectively connected with each maximum likelihood detection module, each linear detection module and each system output end, and is also used for being wirelessly connected with the transmitting end.
The beneficial effects of the utility model are that, in the scheme of the utility model, adopt above-mentioned combination input signal MIMO wireless communication receiver, after corresponding signal detection software algorithm has been added, it need not to distinguish different users' signal with the signal power size, also need not to adopt the interference elimination method of SIC this type, consequently, can not bring extra time delay, its signal detection reliability is high, combine together with maximum likelihood detection module through linear detection module simultaneously, can combine together MRC or ZF or MMSE detection algorithm and ML detection algorithm, the complexity is lower, overcome when the transmission signal way number is very much among the present combination input signal MIMO wireless communication system, detect the too high and unable defect of implementing of complexity, be particularly suitable for extensive MIMO system. Furthermore, because the utility model discloses the scheme can be after the MIMO receiver adds corresponding signal detection software algorithm, can conveniently detect out the multichannel data stream that every transmitting antenna of MIMO transmitting terminal sent, consequently make an MXM (M transmitting antenna, M receiving antenna) MIMO system can transmit the data stream that far exceeds M way, be different from a ordinary MXM MIMO system and only transmit M way data stream at most, show to have improved MIMO system capacity, improved current MIMO technique.
Drawings
Fig. 1 is a system block diagram of a MIMO wireless communication system according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention will be described in detail below with reference to the following embodiments and accompanying drawings.
The utility model discloses a combination input signal MIMO wireless communication receiver, including the reference signal input end, system state information processing module, many receiving antenna, with the system output of transmitting terminal loading signal quantity correspondence quantity, linear detection module reaches the maximum likelihood detection module that corresponds with transmitting terminal transmitting antenna quantity, wherein, the reference signal input end is connected with system state information processing module, receiving antenna's quantity more than or equal to transmitting terminal transmitting antenna's quantity, each receiving antenna is connected with each input one-to-one of linear detection module respectively, each output of linear detection module is connected with each maximum likelihood detection module's input one-to-one respectively, each output of each maximum likelihood detection module is connected with each system output one-to-one respectively, system state information processing module respectively with each maximum likelihood detection module, The linear detection module is connected with the output ends of all the systems, and the system state information processing module is also used for being wirelessly connected with the transmitting end.
Examples
The utility model discloses combination input signal MIMO wireless communication receiver, including reference signal input end, system state information processing module, many receiving antenna, the system output with the corresponding quantity of transmitting terminal loading signal quantity, linear detection module reaches the maximum likelihood detection module that corresponds with transmitting terminal transmitting antenna quantity, wherein, reference signal input end is connected with system state information processing module, receiving antenna's quantity more than or equal to transmitting terminal transmitting antenna's quantity, each receiving antenna is connected with each input one-to-one of linear detection module respectively, each output of linear detection module is connected with each maximum likelihood detection module's input one-to-one respectively, each output of each maximum likelihood detection module is connected with each system output one-to-one respectively, system state information processing module respectively with each maximum likelihood detection module, system state information processing module, The linear detection module is connected with the output ends of all the systems, and the system state information processing module is also used for being in wireless connection with the transmitting end.
Here, after adding the corresponding signal detection software algorithm, the functions that each module can perform are as follows:
and the linear detection module is used for detecting and estimating a combined input signal transmitted by each transmitting antenna according to the signal vector received by the receiving antenna by adopting an MRC or ZF or MMSE linear detection algorithm and respectively transmitting the combined input signal to the corresponding maximum likelihood detection module.
And the maximum likelihood detection module is used for distinguishing each path of data stream in the input combined input signal by adopting an ML detection algorithm and outputting the data streams respectively.
And the system state information processing module is used for estimating a space wireless channel according to the received signal and the reference signal, calculating an output signal-to-noise ratio, an output error rate, a signal error and the like, and sending the output signal-to-noise ratio, the output error rate, the signal error and the like to the transmitting end as feedback information through wireless connection with the transmitting end.
The following description will be made by taking the MIMO wireless communication system as an example, in which the MIMO wireless communication receiver corresponds to the transmitter to form a combined input signal MIMO wireless communication system, the system block diagram can be seen in fig. 1, where the system is equipped with M transmitting antennas and Z receiving antennas, and Z ≧ M, the 1 st transmitting antenna is denoted as T1And the Mth transmitting antenna is marked as TMThe 1 st receiving antenna is denoted as R1And the 2 nd receiving antenna is denoted as R2The Z-th receiving antenna is denoted as RZ。
The added signal detection software algorithm is as follows:
it can be known that there are L on the k-th antenna at the transmitting endkInput data stream s with different pathsklEach via a respective virtual channelThen combined together and transmitted from the k-th transmitting antenna at the same time, namely each transmitting antenna can transmit L in the same frequency bandkWay data stream (L)kIs a positive integer). Wherein A isklAnd thetaklRespectively representing virtual lettersWay wklK 1,2, …, M, L1, 2, …, Lk，Lk≥1，LkThe number of transmitting end loading signals corresponding to the kth transmitting end transmitting antenna can be the same or different, for example, L1Is equal to L2But not equal to L3. We can represent the input data stream combined to the kth transmit antenna as one input signal vector, i.e.All M input signal vectors represent the input signal vectors that make up the system as s ═ s1 Ts2 T… sM T]T. In addition, useRepresenting a k-th virtual channel vector corresponding to a k-th input signal vector sk. Similarly, we use w ═ w1 Tw2 T… wM T]TA virtual channel vector representing the system. Therefore, after the combined input signal method is adopted, the signal transmitted from the k-th transmitting antenna can be represented as:
total transmit data stream (transmit side loading signal) number in a combined input signal MIMO systemGreater than the number of transmitting antennas, i.e. T>And M. When L isk1 and wklWhen 1, the MIMO wireless transmission system becomes a conventional MIMO wireless transmission system.
At the receiving end, the nth receiving antenna receives the signals transmitted from all M transmitting antennas, where n is 1,2, …, Z. Thus, the received signal vector can be expressed as:
where H denotes a spatial wireless channel matrix with dimension Z × M, and H ═ H1h2… hM]，hk＝[h1k,h2k,…,hZk]TAnd the wireless channel vector of the k transmitting antenna corresponding to the Z receiving antennas is represented. n ═ n1,n2,…,nZ]TIs an additive white Gaussian noise vector with statistically independent components, and each element obeysDistribution of power ofx＝[x1,x2,...,xM]TRepresenting the transmitted signal vector of the system.
Therefore, when the linear detection module adopts the MRC linear detection algorithm, the method specifically includes: acquiring a spatial wireless channel matrix from a system state information processing module, setting y as a received signal vector,for an estimate of the transmit signal vector x, the receive optimization matrix is then
GMRC＝HH
Thus is provided with
Wherein,each element in (a) is an estimate of the respective combined input signal.
In-line inspectionWhen the measurement module adopts a ZF linear detection algorithm, the method specifically comprises the following steps: acquiring a spatial wireless channel matrix from a system state information processing module, setting y as a received signal vector,for an estimate of the transmit signal vector x, the receive optimization matrix is then
GZF＝(HHH)-1HH
Thus is provided with
Wherein,each element in (a) is an estimate of the respective combined input signal.
When the linear detection module adopts an MMSE linear detection algorithm, the method specifically includes: the system state information processing module also calculates noise power, and the linear detection module acquires the space wireless channel matrix and the noise power from the system state information processing moduleIs the noise power, y is the received signal vector,for an estimate of the transmit signal vector x, the receive optimization matrix is then
Thus is provided with
Wherein,is an estimate of each combined input signal, IMIs an M x M identity matrix.
In this example, the maximum likelihood detection module adopts ML detection algorithm to distinguish each data stream in the input combined input signal, and outputs respectively: the kth maximum likelihood detection module obtains a corresponding virtual channel vector w from a receiving endkWherein k is 1,2, … …, M; m is the number of transmitting antennas at the transmitting end, and the maximum likelihood detection module is set to calculate the kth input signal vector skIs estimated value ofThe specific optimization calculation method is as follows:
wherein,j denotes a constellation set of QAM (amplitude phase modulation) signals,representing the vector s of the input signalmAll possible L ofkSet of vector candidates for the number of dimensions, LkThe number of loading signals of the transmitting terminal corresponding to the kth transmitting antenna of the transmitting terminal is referred to.
In this case, the above-mentioned signal detection software algorithm can be derived reasonably by those skilled in the art according to the present invention, which is not the protection scope of the present invention, and in addition, the system state information processing module can estimate the spatial wireless channel matrix according to the received signal and the reference signal, which is the prior art and will not be described in detail herein.
Claims (1)
1. A combined input signal MIMO wireless communication receiver comprises a reference signal input end, a system state information processing module, a plurality of receiving antennas and system output ends, wherein the number of the system output ends corresponds to the number of loading signals of a transmitting end, the reference signal input end is connected with the system state information processing module, the number of the receiving antennas is more than or equal to the number of the transmitting antennas of the transmitting end, the combined input signal MIMO wireless communication receiver is characterized by also comprising a linear detection module and a maximum likelihood detection module, the maximum likelihood detection module corresponds to the number of the transmitting antennas of the transmitting end, the plurality of receiving antennas are respectively connected with the input ends of the linear detection module in a one-to-one correspondence manner, the output ends of the linear detection module are respectively connected with the input ends of the maximum likelihood detection module in a one-to-one correspondence manner, the system state information processing module is respectively connected with the maximum, The linear detection module is connected with the output ends of all the systems, and the system state information processing module is also used for being in wireless connection with the transmitting end.
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