CN103929279A - Detection method and device of multiple-input multiple-output system - Google Patents

Abstract

The embodiment of the invention discloses a detection method and device of a multiple-input multiple-output system. The detection method comprises the steps that a first detection method is adopted to detect received signals, so that a first log-likelihood ratio of transmitted signals is obtained from the received signals; a second detection method is adopted to detect the received signals, so that a second log-likelihood ratio of the transmitted signals is obtained from the received signals; the first log-likelihood ratio and the second log-likelihood ratio are combined through a preset algorithm, so that a third log-likelihood ratio of the transmitted signals is obtained; the received signals are decoded based on the third log-likelihood ratio. The detection method and device of the multiple-input multiple-output system can lower detection complexity and improve detection performance.

Description

A kind of detection method of multi-input multi-output system and checkout gear

Technical field

The embodiment of the present invention relates to communication technical field, relates in particular to a kind of detection method and checkout gear of multi-input multi-output system.

Background technology

Future mobile communication system requires in certain frequency band, to hold as much as possible user, and the transmission rate of data will reach 10～100Mbits/s.In order to reach above-mentioned requirements, adopt multiple-input and multiple-output (Multiple-Input Multiple-Output, MIMO) system more.Mimo system can improve the availability of frequency spectrum of system, the capacity of expansion system.In mimo system, the model that receives signal can be expressed as: Y=HS+N, and wherein, Y represents the reception signal of receiving terminal, and S is transmission antennas transmit signal, and H is the channel response of the channel from transmitting terminal to receiving terminal, and N is noise.The object of the receiver detector of mimo system is from receive signal Y, to recover to transmit S.At present conventional detection method is as follows:

Linearity test: ZF (Zero-forcing, ZF) and least mean-square error (Minimum Mean Square Error, MMSE) be two kinds of conventional detection criteria, ZF algorithm is simple easily to be realized, can eliminate inter-antenna interference, but strengthen noise power; MMSE algorithm can find a balance in both, can obtain the more coding gain than ZF, but these two kinds of detection methods all do not have good receive diversity gain.

Interference cancellation: the thought source of interference cancellation is in multiuser detection, the data stream recovery first detecting can be become disturb to eliminate, to improve the performance of data-flow detection below, as Multiuser Detection, can have disappearing mutually of serial, what also can walk abreast disappears mutually.Conventional is VBLAST (both referred to a kind of hierarchical space-time code scheme, and also usually refered in particular to a kind of detection algorithm), i.e. the serial with sequence disappears mutually.There is error propagation in VBLAST, can in level subsequently, cause detecting error.Another kind is iterative detection (Turbo-IC, PIC), the core concept of Iterative detection algorithm is that two or more detection sub-module are carried out (separated with deinterleaver with interleaver) by exchange soft value information (external information) iteration, the external information of previous submodule output is as the prior information of next module, but the result that this detection method detects still exists certain deviation.

In order to obtain better receive diversity gain, conventionally adopt Maximum Likelihood Detection (Maximum Likelihood, MLD) algorithm to detect, if will guarantee to detect best performance during detection, need to travel through all possible transmitting vector, operand is larger, implements comparatively complicated.In order not lose under the prerequisite of performance, effectively reduce operand, prior art proposition employing is carried out QR decomposition (a kind of matrix decomposition) to channel matrix and is detected with the method that M algorithm (being a kind of node searching method of simplifying ML) combines, this method is called for short QRM algorithm (being that QR decomposes and M algorithm), in the method, first need to determine the order of child node, and then according to sorting one by one chooser node export corresponding survival route, this method is when in order of modulation, more or number of transmit antennas is more, if reach good performance, every grade need to retain more node, implement still very complicated.Therefore, the testing result of existing MIMO detection technique is unsafty.

Summary of the invention

The embodiment of the present invention provides a kind of detection method and device of multi-input multi-output system, can reduce detection complexity, improves and detects performance.

First aspect, the embodiment of the present invention provides a kind of checkout gear, comprising:

The first detecting unit, for adopting the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from described reception signal;

The second detecting unit, for adopting the second detection method to detect described reception signal, with the second log-likelihood ratio transmitting described in obtaining from described reception signal;

Merge cells, for utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio transmitting described in obtaining;

Decoding unit, carries out decoding for comparing described reception signal based on described the 3rd log-likelihood.

In conjunction with first aspect, in the possible implementation of the first of first aspect, described checkout gear also comprises:

Emulation processing unit, the process that adopts different detection methods to detect the log-likelihood ratio of test signal for emulation, to determine the first detection method and the second detection method that makes detection complexity that the log-likelihood ratio of described test signal is detected and accuracy in detection have optimum Match, wherein, described the first detection method is for guaranteeing the accuracy of sign bit of the log-likelihood ratio of described test signal, and described the second detection method is for guaranteeing the accuracy of absolute value of the log-likelihood ratio of described test signal.

In conjunction with first aspect, or the possible implementation of the first of first aspect, in the possible implementation of the second of first aspect, described merge cells comprises: the first merge cells, when identical for the sign bit at described the first log-likelihood ratio and described the second log-likelihood ratio, get described the second log-likelihood and be compared to described the 3rd log-likelihood ratio.

In conjunction with first aspect, or the possible implementation of the first of first aspect, in the third possible implementation of first aspect, described merge cells comprises: the second merge cells, when not identical for the sign bit at described the first log-likelihood ratio and described the second log-likelihood ratio, get the sign bit of described the first log-likelihood ratio as the sign bit of described the 3rd log-likelihood ratio, get the absolute value of described the second log-likelihood ratio as the absolute value of described the 3rd log-likelihood ratio.

In conjunction with first aspect, or the possible implementation of the first of first aspect, in the 4th kind of possible implementation of first aspect, described the 3rd log-likelihood ratio is the product of f and described the second log-likelihood ratio, wherein, f is for being less than arbitrarily 0 number.

In conjunction with first aspect, or the possible implementation of the first of first aspect, in the 5th kind of possible implementation of first aspect, described merge cells comprises: the 3rd merge cells, for utilizing default weight coefficient, described the first log-likelihood ratio and described the second log-likelihood ratio are carried out to linear weighted function, obtain described the 3rd log-likelihood ratio.

Second aspect, the checkout gear that the embodiment of the present invention provides, comprising: receiver, for receiving signal;

Processor, for adopting the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from described reception signal; Adopt the second detection method to detect described reception signal, with the second log-likelihood ratio transmitting described in obtaining from described reception signal; Utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio transmitting described in obtaining; Based on described the 3rd log-likelihood, compare described reception signal and carry out decoding.

In conjunction with second aspect, in the possible implementation of the first of second aspect, described processor is also for process that emulation adopts different detection methods to detect the log-likelihood ratio of test signal, to determine the first detection method and the second detection method that makes detection complexity that the log-likelihood ratio of described test signal is detected and accuracy in detection have optimum Match, wherein, described the first detection method is for guaranteeing the accuracy of sign bit of the log-likelihood ratio of described test signal, described the second detection method is for guaranteeing the accuracy of absolute value of the log-likelihood ratio of described test signal.

In conjunction with second aspect, or the possible implementation of the first of second aspect, in the possible implementation of the second of second aspect, described processor utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, described in obtaining, transmit the 3rd log-likelihood ratio time, specifically for: when the sign bit of described the first log-likelihood ratio and described the second log-likelihood ratio is identical, gets described the second log-likelihood and be compared to described the 3rd log-likelihood ratio.

In conjunction with second aspect, or the possible implementation of the first of second aspect, in the third possible implementation of second aspect, described processor utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, described in obtaining, transmit the 3rd log-likelihood ratio time, specifically for: when the sign bit of described the first log-likelihood ratio and described the second log-likelihood ratio is not identical, get the sign bit of described the first log-likelihood ratio as the sign bit of described the 3rd log-likelihood ratio, get the absolute value of described the second log-likelihood ratio as the absolute value of described the 3rd log-likelihood ratio.

In conjunction with second aspect, or the possible implementation of the first of second aspect, in the 4th kind of possible implementation of second aspect, described processor utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, described in obtaining, transmit the 3rd log-likelihood ratio time, specifically for: f and described the second log-likelihood ratio are multiplied each other and obtain described the 3rd log-likelihood ratio, and wherein, f is for being less than arbitrarily 0 number.

In conjunction with second aspect, or the possible implementation of the first of second aspect, in the 5th kind of possible implementation of second aspect, described processor utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, described in obtaining, transmit the 3rd log-likelihood ratio time, specifically for: utilize default weight coefficient, described the first log-likelihood ratio and described the second log-likelihood ratio are carried out to linear weighted function, obtain described the 3rd log-likelihood ratio.

The third aspect, the embodiment of the present invention provides a kind of detection method of multi-input multi-output system, comprising:

Adopt the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from described reception signal;

Adopt the second detection method to detect described reception signal, with the second log-likelihood ratio transmitting described in obtaining from described reception signal;

Utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio transmitting described in obtaining;

Based on described the 3rd log-likelihood, compare described reception signal and carry out decoding.

In conjunction with the third aspect, in the possible implementation of the first of the third aspect, before employing the first detection method detects to received signal, described method also comprises: the process that emulation adopts different detection methods to detect the log-likelihood ratio of test signal, to determine the first detection method and the second detection method that makes detection complexity that the log-likelihood ratio of described test signal is detected and accuracy in detection have optimum Match, wherein, described the first detection method is for guaranteeing the accuracy of sign bit of the log-likelihood ratio of described test signal, described the second detection method is for guaranteeing the accuracy of absolute value of the log-likelihood ratio of described test signal.

In conjunction with the third aspect, or the possible implementation of the first of the third aspect, in the possible implementation of the second of the third aspect, the default algorithm of described utilization by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio transmitting described in obtaining comprises: when the sign bit of described the first log-likelihood ratio and described the second log-likelihood ratio is identical, gets described the second log-likelihood and be compared to described the 3rd log-likelihood ratio.

In conjunction with the third aspect, or the possible implementation of the first of the third aspect, in the third possible implementation of the third aspect, the default algorithm of described utilization by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio that obtains the signal of described transmitting terminal transmitting comprises: when the sign bit of described the first log-likelihood ratio and described the second log-likelihood ratio is not identical, get the sign bit of described the first log-likelihood ratio as the sign bit of described the 3rd log-likelihood ratio, get the absolute value of described the second log-likelihood ratio as the absolute value of described the 3rd log-likelihood ratio.

In conjunction with the third aspect, or the possible implementation of the first of the third aspect, in the 4th kind of possible implementation of the third aspect, the default algorithm of described utilization by described the first log-likelihood when described the second log-likelihood ratio merge, described in obtaining, transmit the 3rd log-likelihood ratio time, specifically for: f and described the second log-likelihood ratio are multiplied each other and obtain described the 3rd log-likelihood ratio, and wherein, f is for being less than arbitrarily 0 number.

In conjunction with the third aspect, or the possible implementation of the first of the third aspect, in the 5th kind of possible implementation of the third aspect, the default algorithm of described utilization by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio that obtains the signal of described transmitting terminal transmitting comprises: utilize default weight coefficient, described the first log-likelihood ratio and described the second log-likelihood ratio are carried out to linear weighted function, obtain described the 3rd log-likelihood ratio.

As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages:

In the embodiment of the present invention, adopt the first detection method and the second detection method to detect to received signal respectively, obtain different log-likelihood ratios, then utilize default algorithm that different log-likelihood ratios is merged and obtains a new log-likelihood ratio, then utilize new log-likelihood ratio to carry out to received signal decoding.In the embodiment of the present invention, owing to having adopted two kinds of different detection methods to detect to received signal simultaneously, then adopt default algorithm to get respectively the advantage of each detection method, therefore, guaranteeing that testing result is accurately under prerequisite, reduce the detection complexity of every kind of detection algorithm, improved detection performance.

Accompanying drawing explanation

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.

Fig. 1 is embodiment schematic diagram of checkout gear of the present invention;

Fig. 2 is another embodiment schematic diagram of checkout gear of the present invention;

Fig. 3 is another embodiment schematic diagram of checkout gear of the present invention;

Fig. 4 is embodiment schematic diagram of detection method of multi-input multi-output system of the present invention;

Fig. 5 is another embodiment schematic diagram of detection method of multi-input multi-output system of the present invention;

A kind of flow chart of determining the survival route transmit and corresponding metric that Fig. 6 provides for the embodiment of the present invention.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.

The embodiment of the present invention provides a kind of detection method and checkout gear of multi-input multi-output system, can reduce detection complexity, improves and detects performance.

Refer to Fig. 1, Fig. 1 is embodiment schematic diagram of embodiment of the present invention checkout gear, and the checkout gear 100 of the present embodiment comprises:

The first detecting unit 101, for adopting the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from receive signal;

The second detecting unit 102, for adopting the second detection method to detect to received signal, to obtain the second log-likelihood ratio transmitting from receive signal;

Merge cells 103, for utilize default algorithm by the first log-likelihood when the second log-likelihood ratio merge, the 3rd log-likelihood ratio that obtains transmitting;

Decoding unit 104, for carrying out to received signal decoding based on the 3rd log-likelihood ratio.

First detection method of the present embodiment is that detection complexity is higher, the simplification detection method of the detection method that testing result accuracy is higher (detection methods such as MLD, QRM), concrete simplification degree can be determined by emulation experiment, the detection complexity of the first detection method is lower than the detection complexity of the detection methods such as original MLD, QRM, and the accuracy that simultaneously adopts the testing result that the first detection method obtains is also lower than the accuracy of the testing result that adopts the original detection methods such as MLD, QRM to obtain.

The second detection method is that testing process is fixed (being that detection complexity is fixed), testing result is fixed (different from the first detection method, the order of accuarcy of its detection is fixed) detection method, as a rule, the detection complexity of the second detection method is lower than the complexity of the detection methods such as original MLD, QRM, but the accuracy of the testing result simultaneously obtaining is also lower than the accuracy that adopts the testing result obtaining of the original detection methods such as MLD, QRM.

In the present embodiment, because the first detection mode is MLD, the simplification detection method of the detection methods such as QRM, so the accuracy of the testing result that the first detecting unit 101 obtains decreases, therefore, the present embodiment is when the first detecting unit 101 adopts the first detection method, the second detecting unit 102 adopts the second detection method to detect to received signal, then merge cells 103 utilizes default algorithm that the testing result (the first log-likelihood is the second log-likelihood when) that adopts two kinds of detection methods to obtain is merged, obtain new testing result (the 3rd log-likelihood ratio), by the testing result of two kinds of detection methods being carried out in conjunction with the accuracy that promotes testing result.Decoding unit 104 carries out decoding to received signal based on the 3rd log-likelihood ratio, when reducing detection complexity, has guaranteed the accuracy of decoding, has improved detection performance.

For ease of understanding, with a specific embodiment, the checkout gear of the embodiment of the present invention is described below, refer to Fig. 2, the checkout gear 200 of the present embodiment comprises:

Emulation processing unit 201, the process that adopts different detection methods to detect the log-likelihood ratio of test signal for emulation, to determine the first detection method and the second detection method that makes detection complexity that the log-likelihood ratio of test signal is detected and accuracy in detection have optimum Match, wherein, the first detection method is for guaranteeing the accuracy of sign bit of the log-likelihood ratio of test signal, and the second detection method is for guaranteeing the accuracy of absolute value of the log-likelihood ratio of test signal;

The first detecting unit 202, for adopting the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from receive signal;

The second detecting unit 203, for adopting the second detection method to detect to received signal, to obtain the second log-likelihood ratio transmitting from receive signal;

Merge cells 204, for utilize default algorithm by the first log-likelihood when the second log-likelihood ratio merge, the 3rd log-likelihood ratio that obtains transmitting;

Decoding unit 205, for carrying out to received signal decoding based on the 3rd log-likelihood ratio.

Wherein, merge cells 204 specifically comprises:

The first merge cells 2041, when identical for the sign bit at the first log-likelihood ratio and the second log-likelihood ratio, get the second log-likelihood and is compared to the 3rd log-likelihood ratio;

The second merge cells 2042, when the sign bit of the first log-likelihood ratio and the second log-likelihood ratio is not identical, get the sign bit of the first log-likelihood ratio as the sign bit of the 3rd log-likelihood ratio, get the absolute value of the second log-likelihood ratio as the absolute value of the 3rd log-likelihood ratio.The 3rd log-likelihood ratio can be the product of f and the second log-likelihood ratio, and wherein, f is for being less than arbitrarily 0 number;

The 3rd merge cells 2043, for utilizing default weight coefficient, carries out linear weighted function by the first log-likelihood ratio and the second log-likelihood ratio, obtains the 3rd log-likelihood ratio.

For ease of understanding, with a practical application scene, the interactive mode between each unit of checkout gear in the present embodiment is described below:

The detection method of existing multi-input multi-output system mainly can be divided into two classes, one class is that detection complexity is adjustable, the detection method that the accuracy of corresponding testing result also can change, detection methods such as MLD, QRM, herein the detection complexity of indication mainly in testing process the selected number transmitting determine, the selected number transmitting is more, and detection complexity is higher; Another kind ofly be that detection complexity is fixed, also fixing detection method of the accuracy of testing result, detection methods such as PIC, MMSE, Turbo-IC.

For detection methods such as the adjustable MLD of detection complexity, QRM, under ideal state, if adopt these detection methods and can travel through all transmitting (detection complexity is the highest) in testing process, the accuracy that can guarantee testing result is the highest, but, in actual applications, owing to being subject to the restriction of the conditions such as hardware resource, detection complexity is higher, implements just more difficult.And if the detection methods such as MLD, QRM of adopt simplifying, the accuracy of the testing result obtaining will be slightly lower, the accuracy of concrete testing result is relevant with the simplification degree of these detection methods.And the log-likelihood ratio of test signal is comprised of absolute value and sign bit, in practical study, find, the detection methods such as MLD, QRM that adopt different simplification degree, the absolute value amplitude of variation of the log-likelihood ratio obtaining is larger, but the sign bit of the logarithm obtaining nature ratio is comparatively stable.Therefore, in the present embodiment, emulation processing unit 201 can be by emulation, in the detection methods such as the different MLD of simplification degree, QRM, find out the sign bit the simplest detection method accurately that can guarantee log-likelihood ratio, using this detection method as the first detection method, for guaranteeing the accuracy of the sign bit of log-likelihood ratio.

In addition, for the fixing detection method such as PIC, MMSE, Turbo-IC of detection complexity, emulation processing unit 201 also can emulation be utilized the testing process of these methods to the log-likelihood ratio of test signal, known by emulation, utilize these detection methods to detect the sign bit of the maximum likelihood ratio obtaining inaccurate, but the accuracy of the absolute value of maximum likelihood ratio meet the demands.Therefore, can in these methods, choose any one method as the second detection method, to guarantee the accuracy of the absolute value of testing result.

Next the first detection method that the first detecting unit 202 utilizes emulation processing unit 201 to determine detects to received signal, to obtain the first log-likelihood ratio transmitting from receive signal; The second detection method that the second detecting unit 203 utilizes emulation processing unit 201 to determine simultaneously detects to received signal, to obtain the second log-likelihood ratio transmitting from receive signal.It should be noted that, emulation processing unit 201 is not that the present embodiment is necessary, and it can be replaced by other hardware circuit or software database, and described replacement circuit or software can be preserved the first detection method and second detection method with optimum Match.By software locating function or ball bearing made using computing, can export the first preset detection method and the second detection method to the first detecting unit 202 and the second detecting unit 203.

After obtaining different log-likelihood ratios, by merge cells 204, utilize default algorithm, by the first log-likelihood when the second log-likelihood ratio merge, the 3rd log-likelihood ratio that obtains transmitting, particularly:

When the sign bit of the first log-likelihood ratio and the second log-likelihood ratio is identical, the first merge cells 2041 is got the second log-likelihood and is compared to the 3rd log-likelihood ratio.

When the sign bit of the first log-likelihood ratio and the second log-likelihood ratio is not identical, the second merge cells 2042 is got the sign bit of the first log-likelihood ratio as the sign bit of the 3rd log-likelihood ratio, gets the absolute value of the second log-likelihood ratio as the absolute value of the 3rd log-likelihood ratio.The 3rd log-likelihood ratio can be the product of f and the second log-likelihood ratio, and wherein, f is for being less than arbitrarily 0 number.Because f is less than 0, the sign bit that is therefore equivalent to the first log-likelihood ratio is believable.By multiplying each other with this f, it is the same with the first log-likelihood ratio that the sign bit of the second log-likelihood ratio is set to.

In addition, also when whether the sign bit of the second log-likelihood ratio is identical can not consider the first log-likelihood, by the 3rd merge cells 2043, for the first log-likelihood ratio, preset respectively different weight coefficients from the second log-likelihood ratio, the first log-likelihood ratio and the second log-likelihood ratio are multiplied by respectively to weight coefficient separately, then carry out linear weighted function, obtain the 3rd log-likelihood ratio, decoding unit 205, for carrying out to received signal decoding based on the 3rd log-likelihood ratio.

In the present embodiment, in emulation processing unit, determine after the first detection method and the second detection method, the first detecting unit and the second detecting unit adopt respectively the first detection method and the second detection method to detect to received signal, obtain different log-likelihood ratios, then the default algorithm of merge cells utilization merges different log-likelihood ratios to obtain a new log-likelihood ratio, and the new log-likelihood ratio of decoding unit utilization carries out decoding to received signal.In the present embodiment, owing to having adopted two kinds of different detection methods to detect to received signal, then adopt default algorithm to get respectively the advantage of each detection method simultaneously, therefore, guaranteeing that testing result accurately under prerequisite, has reduced detection complexity, improved detection performance.

Further introduce the checkout gear that the embodiment of the present invention provides below, refer to Fig. 3, specifically:

Checkout gear 300 can comprise RF(Radio Frequency, radio frequency) circuit 310, the memory 320 that includes one or more computer-readable recording mediums, input unit 330, display unit 340, transducer 350, voicefrequency circuit 360, WiFi (wireless fidelity, Wireless Fidelity) module 370, include the parts such as the above processor 380 of processing core of or and power supply 390.It will be understood by those skilled in the art that the structure shown in Fig. 3 does not form the restriction to checkout gear 300, can comprise the parts more more or less than diagram, or combine some parts, or different parts are arranged.Wherein:

RF circuit 310 can be used in messaging process, and the reception of signal and transmitting especially, after the downlink information of base station is received, are transferred to one or above processor 380 processing; In addition, will relate to up data transmission to base station.Conventionally, RF circuit 310 includes but not limited to antenna, at least one amplifier, tuner, one or more oscillator, subscriber identity module (SIM) card, transceiver, coupler, LNA(Low Noise Amplifier, low noise amplifier), duplexer etc.In addition, RF circuit 310 can also be by radio communication and network and other devices communicatings.Described radio communication can be used arbitrary communication standard or agreement, include but not limited to GSM (Global System of Mobile communication, global system for mobile communications), GPRS (General Packet Radio Service, general packet radio service), CDMA (Code Division Multiple Access, code division multiple access), WCDMA (Wideband Code Division Multiple Access, Wideband Code Division Multiple Access (WCDMA)), LTE (Long Term Evolution, Long Term Evolution), Email, SMS (Short Messaging Service, Short Message Service) etc.

Memory 320 can be used for storing software program and module, and processor 380 is stored in software program and the module of memory 320 by operation, thereby carries out various function application and data processing.Memory 320 can mainly comprise storage program district and storage data field, wherein, and the application program (such as sound-playing function, image player function etc.) that storage program district can storage operation system, at least one function is required etc.; The data (such as voice data, phone directory etc.) that create according to the use of checkout gear 300 etc. can be stored in storage data field.In addition, memory 320 can comprise high-speed random access memory, can also comprise nonvolatile memory, for example at least one disk memory, flush memory device or other volatile solid-state parts.Correspondingly, memory 320 can also comprise Memory Controller, so that the access of processor 380 and 330 pairs of memories 320 of input unit to be provided.

Input unit 330 can be used for receiving numeral or the character information of input, and generation arranges with user and function is controlled relevant keyboard, mouse, action bars, optics or the input of trace ball signal.Particularly, input unit 330 can comprise touch-sensitive surperficial 331 and other input equipments 332.Touch-sensitive surperficial 331, also referred to as touch display screen or Trackpad, can collect user or near touch operation (using any applicable object or near the operations of annex on touch-sensitive surperficial 331 or touch-sensitive surperficial 331 such as finger, stylus such as user) thereon, and drive corresponding jockey according to predefined formula.Optionally, touch-sensitive surperficial 331 can comprise touch detecting apparatus and two parts of touch controller.Wherein, touch detecting apparatus detects user's touch orientation, and detects the signal that touch operation is brought, and sends signal to touch controller; Touch controller receives touch information from touch detecting apparatus, and converts it to contact coordinate, then gives processor 380, and the order that energy receiving processor 380 is sent is also carried out.In addition, can adopt the polytypes such as resistance-type, condenser type, infrared ray and surface acoustic wave to realize touch-sensitive surperficial 331.Except touch-sensitive surperficial 331, input unit 330 can also comprise other input equipments 332.Particularly, other input equipments 332 can include but not limited to one or more in physical keyboard, function key (controlling button, switch key etc. such as volume), trace ball, mouse, action bars etc.

Display unit 340 can be used for showing the information inputted by user or the various graphical user interface of the information that offers user and checkout gear 300, and these graphical user interface can consist of figure, text, icon, video and its combination in any.Display unit 340 can comprise display floater 341, optionally, can adopt the forms such as LCD (Liquid Crystal Display, liquid crystal display), OLED (Organic Light-Emitting Diode, Organic Light Emitting Diode) to configure display floater 341.Further, touch-sensitive surperficial 331 can cover display floater 341, when touch-sensitive surperficial 331 detect thereon or near touch operation after, send processor 380 to determine the type of touch event, corresponding vision output is provided according to the type of touch event with preprocessor 380 on display floater 341.Although in Fig. 3, touch-sensitive surperficial 331 with display floater 341 be as two independently parts realize input and input function, in certain embodiments, can by touch-sensitive surperficial 331 and display floater 341 integrated and realize input and output function.

Checkout gear 300 also can comprise at least one transducer 350, such as optical sensor, motion sensor and other transducers.Particularly, optical sensor can comprise ambient light sensor and proximity transducer, and wherein, ambient light sensor can regulate according to the light and shade of ambient light the brightness of display floater 341, proximity transducer can, when checkout gear 300 moves in one's ear, cut out display floater 341 and/or backlight.As for checkout gear 300 other transducers such as configurable gyroscope, barometer, hygrometer, thermometer, infrared ray sensor also, do not repeat them here.

Voicefrequency circuit 360, loud speaker 361, microphone 362 can provide the audio interface between user and virtual machine (vm) migration control device 300.Voicefrequency circuit 360 can be transferred to loud speaker 361 by the signal of telecommunication after the voice data conversion receiving, and is converted to voice signal exports by loud speaker 361; On the other hand, microphone 362 is converted to the signal of telecommunication by the voice signal of collection, after being received by voicefrequency circuit 360, be converted to voice data, after again voice data output processor 380 being processed, through RF circuit 310, to be transmitted to such as another device, or export voice data to memory 320 to further process.Voicefrequency circuit 360 also may comprise earphone jack, so that communicating by letter of peripheral hardware earphone and checkout gear 300 to be provided.

WiFi belongs to short range wireless transmission technology, checkout gear 300 by WiFi module 370 can help that user sends and receive e-mail, browsing page and access streaming video etc., it provides wireless broadband internet access for user.Although Fig. 3 shows WiFi module 370, be understandable that, it does not belong to must forming of checkout gear 300, completely can be as required in not changing the essential scope of invention and omit.

Specifically in the present embodiment, the part that RF circuit 310 and/or WiFi module 370 are receiver, is used for receiving the signal that other equipment are transmitted to checkout gear.

Processor 380 is control centres of checkout gear 300, utilize the various piece of various interface and the whole device of connection, by moving or carry out software program and/or the module being stored in memory 320, and call the data that are stored in memory 320, carry out various functions and the deal with data of checkout gear 300, thereby device is carried out to integral monitoring.Optionally, processor 380 can comprise one or more processing cores; Preferably, processor 380 can integrated application processor and modem processor, and wherein, application processor is mainly processed operating system, user interface and application program etc., and modem processor is mainly processed radio communication.Be understandable that, above-mentioned modem processor also can not be integrated in processor 380.

Checkout gear 300 also comprises that the power supply 390(powering to all parts is such as battery), preferably, power supply can be connected with processor 380 logics by power-supply management system, thereby realizes the functions such as management charging, electric discharge and power managed by power-supply management system.Power supply 390 can also comprise the random component such as one or more direct current or AC power, recharging system, power failure detection circuit, power supply changeover device or inverter, power supply status indicator.

Although not shown, checkout gear 300 can also comprise camera, bluetooth module etc., does not repeat them here.Specifically in the present embodiment, store one or an above program in the memory 320 of checkout gear 300, processor 380 is stored in the software program of memory 320 by operation, for:

Adopt the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from receive signal;

Adopt the second detection method to detect to received signal, to obtain the second log-likelihood ratio transmitting from receive signal;

Utilize default algorithm by the first log-likelihood when the second log-likelihood ratio merge, the 3rd log-likelihood ratio that obtains transmitting;

Based on the 3rd log-likelihood ratio, carry out to received signal decoding.

It should be noted that the checkout gear 300 that the embodiment of the present invention provides can also, for realizing other function of said apparatus embodiment, not repeat them here.

The detection method of the multi-input multi-output system below embodiment of the present invention being provided is described, and refers to Fig. 4, and the method for the present embodiment comprises:

401, adopt the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from receive signal;

First detection method of the present embodiment is that detection complexity is higher, the simplification detection method of the detection method that testing result accuracy is higher (detection methods such as MLD, QRM), concrete simplification degree can be determined by emulation experiment, the detection complexity of the first detection method is lower than the detection complexity of the detection methods such as original MLD, QRM, and the accuracy that simultaneously adopts the testing result that the first detection method obtains is also lower than the accuracy of the testing result that adopts the original detection methods such as MLD, QRM to obtain.

402, adopt the second detection method to detect to received signal, to obtain the second log-likelihood ratio transmitting from receive signal;

The second detection method is that testing process is fixed (being that detection complexity is fixed), testing result is fixed (different from the first detection method, the order of accuarcy of its detection is fixed) detection method, as a rule, the detection complexity of the second detection method is lower than the complexity of the detection methods such as original MLD, QRM, but the accuracy of the testing result simultaneously obtaining is also lower than the accuracy that adopts the testing result obtaining of the original detection methods such as MLD, QRM.

403, utilize default algorithm by the first log-likelihood when the second log-likelihood ratio merge, the 3rd log-likelihood ratio that obtains transmitting;

In the present embodiment, because the first detection mode is MLD, the simplification detection method of the detection methods such as QRM, the accuracy of the testing result obtaining decreases, therefore, the present embodiment is when adopting the first detection method, adopt the second detection method to detect to received signal, then utilize default algorithm that the testing result (the first log-likelihood is the second log-likelihood when) that adopts two kinds of detection methods to obtain is merged, obtain new testing result (the 3rd log-likelihood ratio), by the testing result of two kinds of detection methods being carried out in conjunction with the accuracy that promotes testing result.

404, based on the 3rd log-likelihood ratio, carry out to received signal decoding.

Based on the 3rd log-likelihood ratio, carry out to received signal decoding, when reducing detection complexity, guaranteed the accuracy of decoding, improved detection performance.

In the present embodiment, adopt the first detection method and the second detection method to detect to received signal respectively, obtain different log-likelihood ratios, then utilize default algorithm that different log-likelihood ratios is merged and obtains a new log-likelihood ratio, then utilize new log-likelihood ratio to carry out to received signal decoding.In the present embodiment, owing to having adopted two kinds of different detection methods to detect to received signal simultaneously, then adopt default algorithm to get respectively the advantage of each detection method, therefore, guaranteeing that testing result is accurately under prerequisite, reduce the detection complexity of every kind of detection algorithm, improved detection performance.

For ease of understanding, with a specific embodiment, the detection method of the multi-input multi-output system of the embodiment of the present invention is described below, refer to Fig. 5, the method for the present embodiment comprises:

501, emulation adopts the process that different detection methods detects the log-likelihood ratio of test signal, to determine the first detection method and the second detection method;

The detection method of existing multi-input multi-output system mainly can be divided into two classes, one class is that detection complexity is adjustable, the detection method that the accuracy of corresponding testing result also can change, detection methods such as MLD, QRM, herein the detection complexity of indication mainly in testing process the selected number transmitting determine, the selected number transmitting is more, and detection complexity is higher; Another kind ofly be that detection complexity is fixed, also fixing detection method of the accuracy of testing result, detection methods such as PIC, MMSE, Turbo-IC.

For detection methods such as the adjustable MLD of detection complexity, QRM, under ideal state, if adopt these detection methods and can travel through all transmitting (detection complexity is the highest) in testing process, the accuracy that can guarantee testing result is the highest, but, in actual applications, owing to being subject to the restriction of the conditions such as hardware resource, detection complexity is higher, implements just more difficult.And if the detection methods such as MLD, QRM of adopt simplifying, the accuracy of the testing result obtaining will be slightly lower, the accuracy of concrete testing result is relevant with the simplification degree of these detection methods.

The log-likelihood ratio of test signal is comprised of absolute value and sign bit.In practical study, find, adopt the detection methods such as MLD, QRM of different simplification degree, the absolute value amplitude of variation of the log-likelihood ratio obtaining is larger, but the sign bit of the logarithm obtaining nature ratio is comparatively stable.Therefore, in the present embodiment, can be by emulation, in the detection methods such as the different MLD of simplification degree, QRM, find out the sign bit the simplest detection method accurately that can guarantee log-likelihood ratio, using this detection method as the first detection method, for guaranteeing the accuracy of the sign bit of log-likelihood ratio.The testing result of the MLD detection method that adopts different simplification degree take below as example describes, refer to following table:

If during emulation, unreduced MLD detection method will be adopted, while traveling through all possible test signal, the maximum likelihood that detection obtains is compared to standard, the accuracy that is sign bit and absolute value is 100%, then adopt the MLD detection method that simplification degree is different again the maximum likelihood ratio of test signal to be detected, obtain different testing results.For example, simplification degree is 70%, while detecting the quantity of test signal of sampling be total test signal quantity 70%, as can be seen from the table, under this simplification degree, the sign bit of the maximum likelihood ratio that detection obtains is still accurate, just the accuracy of the absolute value of maximum likelihood ratio has reduced more, next the accuracy of the sign bit that guarantees maximum likelihood ratio of take is principle, adopt successively the MLD detection method of different simplification degree to detect test signal, while finding that simplification degree is 40%, it is a critical point, when simplification degree is less than 40%, it is inaccurate that the sign bit of testing result starts to become, therefore, in the present embodiment, the MLD detection method that can be 40% using simplification degree is as the first detection method, to guarantee the accuracy of the sign bit of testing result.

In addition, for the fixing detection method such as PIC, MMSE, Turbo-IC of detection complexity, also can emulation utilize the testing process of these methods to the log-likelihood ratio of test signal, known by emulation, utilize these detection methods to detect the sign bit of the maximum likelihood ratio obtaining inaccurate, but the accuracy of the absolute value of maximum likelihood ratio meet the demands.Therefore, can in these methods, choose any one method as the second detection method, to guarantee the accuracy of the absolute value of testing result.

Said process determines by emulation the first detection method that detection complexity that the log-likelihood ratio of test signal is detected and accuracy in detection have optimum Match and the process of the second detection method of making.

502, adopt the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from receive signal;

Take the QRM detection method of simplification is below example as the first detection method, and the process that adopts the first detection method to detect to received signal to obtain the first log-likelihood ratio is described, specifically refers to Fig. 6:

601, obtain reception signal Y, receive channel matrix H, number of transmit antennas T and survival route at different levels and count Mi;

602, receive channel matrix H is carried out to QR decomposition, obtain chief of a tribe's battle array Q and upper triangular matrix R, i.e. H=QR;

603, by the conjugate matrices Q of chief of a tribe's battle array Q ^hy multiplies each other with reception signal, the reception signal after being processed

$\stackrel{\‾}{Y}=Q^H\mathrm{HS}+Q^{H}N=Q^H\mathrm{QRS}+Q^{H}N=\mathrm{RS}+\stackrel{\‾}{N};$

Wherein, statistical property is the same with noise N.

Now, can be by the reception signal after processing regard reception signal as, matrix R regards channel as, and S, for transmitting, from last column of R, does the MLD detection algorithm of M reconnaissance step by step, as follows:

Will $\stackrel{\‾}{Y}=Q^H\mathrm{HS}+Q^{H}N=Q^H\mathrm{QRS}+Q^{H}N=\mathrm{RS}+\stackrel{\‾}{N}$ Launch, obtain formula below:

Its testing process is from S _tstart, until S ₁.Wherein, S _tbe the 1st grade, S ₁it is T level.Every one-level in QRM arranges survival route number, and calculates the Euclidean distance of every one-level.

604, the node of i level is carried out adaptively selected, select M _iindividual survival route, concrete steps are as follows:

Step 1, at the M that obtains i-1 level node _i-1after individual survival route and metric, obtain under every survival route the constellation point sequence of each i level child node that the i-1 level node of take is father node.The survival route number of i level is M _i;

Step 2, according to the reliability ordering of the definite i level child node of constellation point sequence obtaining in step 1;

Step 3, according to the reliability ordering of i level child node, calculate respectively each i level child node the metric of corresponding survival route, to obtain M _i-1individual metric;

Step 4, once selects one group of i level child node according to metric order from small to large, and exports corresponding survival route;

Wherein, the size of group (i.e. the number of one group of node comprising) can be determined according to the simplification degree of the determined QRM detection method of step 501 simulation process.

Step 5, determines that whether the number of selected i level child node equals the survival route number of i level, judges whether to have selected M _iindividual survival route;

Step 6, if not, represents the enough M of not yet choosing _iindividual survival route, upgrades the metric under this survival route again according to the reliable rows sequence of the survival route of selecting in step 4 and i level child node, then returns to step 4;

Step 7, if so, represents to have selected M _iindividual survival route, exports M _iindividual survival route and metric thereof, enter i+1 level.

605, judge whether i=T sets up, and if so, performs step 606, if not, perform step 604;

Judged whether afterbody, if so, performed step 606, if also do not arrive afterbody, the value of i has been added to 1, the node of i+1 level is carried out adaptively selected, return execution step 604.Such as, can judge whether i equals T, if so, represent to have arrived afterbody, if not, represent also not arrive afterbody.

606, the M of output afterbody _tindividual survival route and corresponding metric thereof.

Finally, according to resulting survival route and corresponding metric, calculate the log-likelihood ratio transmitting, the log-likelihood ratio that calculates gained is herein the first log-likelihood ratio.

In addition, it should be noted that, the QRM detection method that adopt to simplify of just take is above obtained the process of the first log-likelihood ratio as the first detection method as example explanation, in actual applications, can also adopt the MLD detection method of simplification to detect as the first detection method.

503, adopt the second detection method to detect to received signal, to obtain the second log-likelihood ratio transmitting from receive signal;

Take below PIC detection method is obtained to the process of the second log-likelihood ratio as the second detection method as example explanation, specific as follows:

First with formula carry out MMSE detection, calculate soft value.

for the estimated value transmitting, Y is for receiving signal, and H is receive channel matrix, H ^hfor the conjugate matrices of H, σ ²for noise power, I represents user, N _rfor reception antenna number.

$\hat{X}=\left[\begin{array}{c}{\hat{x}}_1\\ {\hat{x}}_2\\ \·\\ \·\\ \·\\ {\hat{x}}_T\end{array}\right],$ $Y=\left[\begin{array}{c}{y}_1\\ y_2\\ \·\\ \·\\ \·\\ y_{N_R}\end{array}\right],$ wherein, T is number of transmit antennas.

With represent the estimated value that j layer transmits, establish x _jfor the symbol that transmits, computation of mean values:

$E\left(x_j\right)=\underset{\left\{x_j\right\}}{\mathrm{\Σ}}{x}_j\mathrm{Pr}\left(x_j\right),$ Wherein represent the probability of Gaussian Profile.

$\mathrm{Pr}\left(x_j\right)=\frac{1}{{\mathrm{\π\σ}}_j}\exp [-\frac{{|{\hat{x}}_j-{\mathrm{\ρ}}_j{x}_j|}^2}{{{\mathrm{\σ}}_j}^2}],$ Calculate variance:

$\mathrm{Var}\left(x_j\right)=\underset{\left\{x_j\right\}}{\mathrm{\Σ}}{|x_j-E\left(x_j\right)|}^2\mathrm{Pr}\left(x_j\right),$ Doing soft interference elimination obtains:

y wherein _jrepresent that j layer receives signal, j is the numbering of layer, h _kfor the k row of H, E (x _k) be x _kaverage.

After disturbing elimination, obtain $Y=\left[\begin{array}{c}{y}_1\\ y_2\\ \·\\ \·\\ \·\\ y_{N_R}\end{array}\right],$

To Z application LMMSE estimation criterion, eliminate residual interference, the estimated value transmitting is:

${\hat{x}}_j={(H^H\mathrm{HV}+{\mathrm{\σ}}^{2}I)}^{-1}{H}^{H}y=k_j{x}_j+n_j;$

Wherein, V=diag (Var (x ₁) ... Var (x _m))=diag (v ₁..., v _m), diag(v ₁..., v _m) be the right of matrix

Linea angulata element.

? $k_j=R_{\mathrm{jj}},R={(H^H\mathrm{HV}+{\mathrm{\σ}}^2{I}_{N_r})}^{-1}{H}^{H}H=H^H{(\mathrm{HV}{H}^H+{\mathrm{\σ}}^2{I}_{N_r})}^{-1}H;$

Noise n _jwatt level be σ _j ²=R (i, i) (1-v _ir (i, i));

The log-likelihood calculations method of k bit is:

$\mathrm{LLR}\left(b_k\right)=\log \frac{P(b_k=1/{\hat{x}}_j)}{P(b_k=0/{\hat{x}}_j)}\≈\log \frac{\max P(b_k=1/{\hat{x}}_j)}{\max P(b_k=0/{\hat{x}}_j)}=\frac{1}{{{\mathrm{\σ}}_j}^2}[\min \underset{b\∈b_k=0}{{|{\hat{x}}_j-k_{j}b|}^2}-\underset{a\∈b_k=1}{\min {|{\hat{x}}_j-k_{j}a|}^2}]$

B is the constellation point that transmits that k bit is 0, and a is k the constellation point that transmits that bit is 1, b _k=1 represents that k bit is 1, b _k=0 represents that k bit is 0.Max() represent to get maximum, min() represent to get minimum value. represent the probability that k bit is 0, represent the probability that k bit is 1, σ _j ²the noise power that represents j layer, represent the estimated value that j layer transmits, k _jk the bit that represents j layer.The implication of mentioning variable in the present embodiment is applicable to the every other embodiment of the application.

The log-likelihood ratio of above-mentioned calculating gained is the second log-likelihood ratio.

504, judge that whether the first log-likelihood ratio is identical with the sign bit of the second log-likelihood ratio, if identical, perform step 505, if identical, do not perform step 506;

505, get the second log-likelihood and be compared to the 3rd log-likelihood ratio;

When the sign bit of the first log-likelihood ratio and the second log-likelihood ratio is identical, gets the second log-likelihood and be compared to the 3rd log-likelihood ratio.

506, get the sign bit of the first log-likelihood ratio as the sign bit of the 3rd log-likelihood ratio, get the absolute value of the second log-likelihood ratio as the absolute value of the 3rd log-likelihood ratio;

When the sign bit of the first log-likelihood ratio and the second log-likelihood ratio is not identical, get the sign bit of the first log-likelihood ratio as the sign bit of the 3rd log-likelihood ratio, get the absolute value of the second log-likelihood ratio as the absolute value of the 3rd log-likelihood ratio.The 3rd log-likelihood ratio can be the product of f and the second log-likelihood ratio, and wherein, f is for being less than arbitrarily 0 number.

In addition, it should be noted that, step 504 is by judging that the sign bit of the first log-likelihood ratio and the second log-likelihood ratio determines the 3rd log-likelihood ratio, in actual applications, also can not judge the sign bit of the first log-likelihood ratio and the second log-likelihood ratio, but directly for the first log-likelihood ratio, preset respectively different weight coefficients from the second log-likelihood ratio, then the first log-likelihood ratio and the second log-likelihood ratio are multiplied by respectively to weight coefficient separately, then carry out linear weighted function, obtain the 3rd log-likelihood ratio.

507, based on the 3rd log-likelihood ratio, carry out to received signal decoding.

The specific implementation of this step, to those skilled in the art, has been known technology, does not repeat them here.

In the present embodiment, adopt the first detection method and the second detection method to detect to received signal respectively, obtain different log-likelihood ratios, then utilize default algorithm that different log-likelihood ratios is merged and obtains a new log-likelihood ratio, then utilize new log-likelihood ratio to carry out to received signal decoding.In the present embodiment, owing to having adopted two kinds of different detection methods to detect to received signal, then adopt default algorithm to get respectively the advantage of each detection method simultaneously, therefore, guaranteeing that testing result accurately under prerequisite, has reduced detection complexity, improved detection performance.

It should be noted that in addition, device embodiment described above is only schematic, the wherein said unit as separating component explanation can or can not be also physically to separate, the parts that show as unit can be or can not be also physical locations, can be positioned at a place, or also can be distributed in a plurality of network element.Can select according to the actual needs some or all of unit wherein to realize the object of the present embodiment scheme.In addition, in device embodiment accompanying drawing provided by the invention, the annexation between unit represents to have communication connection between them, specifically can be implemented as one or more communication bus or holding wire.Those of ordinary skills, in the situation that not paying creative work, are appreciated that and implement.

Through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add essential common hardware by software and realize, and can certainly comprise that application-specific integrated circuit (ASIC), dedicated cpu, private memory, special-purpose components and parts etc. realize by specialized hardware.Generally, all functions being completed by computer program can realize with corresponding hardware at an easy rate, and the particular hardware structure that is used for realizing same function can be also diversified, such as analog circuit, digital circuit or special circuit etc.But software program realization is better execution mode under more susceptible for the purpose of the present invention condition.Understanding based on such, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium can read, as the floppy disk of computer, USB flash disk, portable hard drive, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc., comprise that some instructions are with so that a computer equipment (can be personal computer, server, or the network equipment etc.) method described in each embodiment of execution the present invention.

Detection method and the checkout gear of a kind of the multi-input multi-output system above embodiment of the present invention being provided are described in detail, for one of ordinary skill in the art, thought according to the embodiment of the present invention, all will change in specific embodiments and applications, therefore, this description should not be construed as limitation of the present invention.

Claims (18)

1. a checkout gear, is characterized in that, comprising:

The first detecting unit, for adopting the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from described reception signal;

The second detecting unit, for adopting the second detection method to detect described reception signal, with the second log-likelihood ratio transmitting described in obtaining from described reception signal;

Merge cells, for utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio transmitting described in obtaining;

Decoding unit, carries out decoding for comparing described reception signal based on described the 3rd log-likelihood.

2. checkout gear as claimed in claim 1, is characterized in that, described checkout gear also comprises:

Emulation processing unit, the process that adopts different detection methods to detect the log-likelihood ratio of test signal for emulation, to determine the first detection method and the second detection method that makes detection complexity that the log-likelihood ratio of described test signal is detected and accuracy in detection have optimum Match, wherein, described the first detection method is for guaranteeing the accuracy of sign bit of the log-likelihood ratio of described test signal, and described the second detection method is for guaranteeing the accuracy of absolute value of the log-likelihood ratio of described test signal.

3. checkout gear as claimed in claim 1 or 2, is characterized in that, described merge cells comprises:

The first merge cells, when identical for the sign bit at described the first log-likelihood ratio and described the second log-likelihood ratio, get described the second log-likelihood and is compared to described the 3rd log-likelihood ratio.

4. checkout gear as claimed in claim 1 or 2, is characterized in that, described merge cells comprises:

The second merge cells, when not identical for the sign bit at described the first log-likelihood ratio and described the second log-likelihood ratio, get the sign bit of described the first log-likelihood ratio as the sign bit of described the 3rd log-likelihood ratio, get the absolute value of described the second log-likelihood ratio as the absolute value of described the 3rd log-likelihood ratio.

5. checkout gear as claimed in claim 1 or 2, is characterized in that, described the 3rd log-likelihood ratio is the product of f and described the second log-likelihood ratio, and wherein, f is for being less than arbitrarily 0 number.

6. checkout gear as claimed in claim 1 or 2, is characterized in that, described merge cells comprises:

The 3rd merge cells, for utilizing default weight coefficient, carries out linear weighted function by described the first log-likelihood ratio and described the second log-likelihood ratio, obtains described the 3rd log-likelihood ratio.

7. a checkout gear, is characterized in that, comprising:

Receiver, for receiving signal;

Processor, for adopting the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from described reception signal; Adopt the second detection method to detect described reception signal, with the second log-likelihood ratio transmitting described in obtaining from described reception signal; Utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio transmitting described in obtaining; Based on described the 3rd log-likelihood, compare described reception signal and carry out decoding.

8. checkout gear as claimed in claim 7, is characterized in that, described processor also for:

The process that emulation adopts different detection methods to detect the log-likelihood ratio of test signal, to determine the first detection method and the second detection method that makes detection complexity that the log-likelihood ratio of described test signal is detected and accuracy in detection have optimum Match, wherein, described the first detection method is for guaranteeing the accuracy of sign bit of the log-likelihood ratio of described test signal, and described the second detection method is for guaranteeing the accuracy of absolute value of the log-likelihood ratio of described test signal.

9. checkout gear as claimed in claim 7 or 8, it is characterized in that, described processor utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, during the 3rd log-likelihood ratio that transmits described in obtaining, specifically for:

When the sign bit of described the first log-likelihood ratio and described the second log-likelihood ratio is identical, gets described the second log-likelihood and be compared to described the 3rd log-likelihood ratio.

10. checkout gear as claimed in claim 7 or 8, it is characterized in that, described processor utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, during the 3rd log-likelihood ratio that transmits described in obtaining, specifically for:

When the sign bit of described the first log-likelihood ratio and described the second log-likelihood ratio is not identical, get the sign bit of described the first log-likelihood ratio as the sign bit of described the 3rd log-likelihood ratio, get the absolute value of described the second log-likelihood ratio as the absolute value of described the 3rd log-likelihood ratio.

11. checkout gears as claimed in claim 7 or 8, it is characterized in that, described processor utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, during the 3rd log-likelihood ratio that transmits described in obtaining, specifically for:

F and described the second log-likelihood ratio are multiplied each other and obtain described the 3rd log-likelihood ratio, and wherein, f is for being less than arbitrarily 0 number.

12. checkout gears as claimed in claim 7 or 8, it is characterized in that, described processor utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, during the 3rd log-likelihood ratio that transmits described in obtaining, specifically for:

Utilize default weight coefficient, described the first log-likelihood ratio and described the second log-likelihood ratio are carried out to linear weighted function, obtain described the 3rd log-likelihood ratio.

The detection method of 13. 1 kinds of multi-input multi-output systems, is characterized in that, comprising:

Adopt the first detection method to detect to received signal, to obtain the first log-likelihood ratio transmitting from described reception signal;

Adopt the second detection method to detect described reception signal, with the second log-likelihood ratio transmitting described in obtaining from described reception signal;

Utilize default algorithm by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio transmitting described in obtaining;

Based on described the 3rd log-likelihood, compare described reception signal and carry out decoding.

14. detection methods as claimed in claim 13, is characterized in that, before employing the first detection method detects to received signal, described method also comprises:

The process that emulation adopts different detection methods to detect the log-likelihood ratio of test signal, to determine the first detection method and the second detection method that makes detection complexity that the log-likelihood ratio of described test signal is detected and accuracy in detection have optimum Match, wherein, described the first detection method is for guaranteeing the accuracy of sign bit of the log-likelihood ratio of described test signal, and described the second detection method is for guaranteeing the accuracy of absolute value of the log-likelihood ratio of described test signal.

15. detection methods as described in claim 13 or 14, is characterized in that, the default algorithm of described utilization by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio transmitting described in obtaining comprises:

When the sign bit of described the first log-likelihood ratio and described the second log-likelihood ratio is identical, gets described the second log-likelihood and be compared to described the 3rd log-likelihood ratio.

16. methods as described in claim 13 or 14, is characterized in that, the default algorithm of described utilization by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio that obtains the signal of described transmitting terminal transmitting comprises:

When the sign bit of described the first log-likelihood ratio and described the second log-likelihood ratio is not identical, get the sign bit of described the first log-likelihood ratio as the sign bit of described the 3rd log-likelihood ratio, get the absolute value of described the second log-likelihood ratio as the absolute value of described the 3rd log-likelihood ratio.

17. methods as described in claim 13 or 14, is characterized in that, the default algorithm of described utilization by described the first log-likelihood when described the second log-likelihood ratio merge, during the 3rd log-likelihood ratio that transmits described in obtaining, specifically for:

F and described the second log-likelihood ratio are multiplied each other and obtain described the 3rd log-likelihood ratio, and wherein, f is for being less than arbitrarily 0 number.

18. want 13 or ask the method as described in 14 as right, it is characterized in that, the default algorithm of described utilization by described the first log-likelihood when described the second log-likelihood ratio merge, the 3rd log-likelihood ratio that obtains the signal of described transmitting terminal transmitting comprises:

Utilize default weight coefficient, described the first log-likelihood ratio and described the second log-likelihood ratio are carried out to linear weighted function, obtain described the 3rd log-likelihood ratio.