CN115941117A

CN115941117A - Detection method, baseband chip, communication equipment and detection device

Info

Publication number: CN115941117A
Application number: CN202211448748.9A
Authority: CN
Inventors: 雷立辉; 高宁泊
Original assignee: Zeku Technology Beijing Corp Ltd
Current assignee: Zeku Technology Beijing Corp Ltd
Priority date: 2022-11-18
Filing date: 2022-11-18
Publication date: 2023-04-07
Anticipated expiration: 2042-11-18
Also published as: CN115941117B

Abstract

The embodiment of the application provides a detection method, a baseband chip, communication equipment and a detection device. The detection method comprises the following steps: determining whether a first signal received by a target user equipment contains a signal of an interfering user equipment; if the first signal contains a signal of interference user equipment, performing joint detection aiming at the target user equipment and the interference user equipment according to channel estimation results corresponding to the target user equipment and the interference user equipment; and if the first signal does not contain a signal of the interference user equipment, executing single-user detection aiming at the target user equipment according to a channel estimation result corresponding to the target user equipment.

Description

Detection method, baseband chip, communication equipment and detection device

Technical Field

The present application relates to the field of communications technologies, and in particular, to a detection method, a baseband chip, a communication device, and a detection apparatus.

Background

The communication system may improve data throughput based on MU-MIMO techniques. And the target user equipment detects the received MU-MIMO signal to acquire the data required by the target user equipment.

In the related art, signal detection performed by target user equipment is performed on the premise that interference user equipment is supposed to exist; in practical applications, especially when there is no interfering ue on the time-frequency resource of the target ue, the receiver still assumes that the interfering ue exists, which results in performance degradation of subsequent joint MIMO detection.

Disclosure of Invention

The application provides a detection method, a baseband chip, a communication device and a detection device. Various aspects of embodiments of the present application are described below.

In a first aspect, a detection method is provided, including: determining whether a first signal received by a target user equipment contains a signal of an interfering user equipment; if the first signal contains a signal of interference user equipment, performing joint detection aiming at the target user equipment and the interference user equipment according to channel estimation results corresponding to the target user equipment and the interference user equipment; and if the first signal does not contain a signal of the interference user equipment, executing single-user detection aiming at the target user equipment according to a channel estimation result corresponding to the target user equipment.

Optionally, the determining whether the first signal received by the target user equipment contains a signal of an interfering user equipment includes: determining a channel parameter corresponding to the first signal; determining whether the first signal comprises a signal of the interfering user equipment according to the channel parameter.

Optionally, the channel parameter is used to indicate one or more of: channel delay spread; and doppler spread.

Optionally, the determining whether the first signal includes a signal of the interfering user equipment according to the channel parameter includes: determining that the first signal comprises a signal of the interfering user equipment if the channel delay spread is smaller than a first threshold and the Doppler spread is smaller than a second threshold; and/or determining that the first signal does not include the signal of the interfering user equipment if the channel delay spread is greater than or equal to the first threshold or the doppler spread is greater than or equal to the second threshold.

In a second aspect, a detection method is provided, including: determining a channel parameter corresponding to a first signal received by target user equipment; if the channel parameters meet preset conditions, performing joint detection aiming at the target user equipment and the interference user equipment; and if the channel parameter does not meet the preset condition, executing single-user detection aiming at the target user equipment according to a channel estimation result corresponding to the target user equipment.

Optionally, the preset condition includes: the channel delay spread is less than a first threshold; and/or the doppler spread is less than a second threshold.

In a third aspect, a baseband chip is provided, including: a memory for storing a program; a processor for invoking a program stored in the memory to cause the baseband chip to perform the method of any of the first and second aspects.

In a fourth aspect, a communication device is provided, which includes the baseband chip and the radio frequency chip as described in the third aspect.

In a fifth aspect, there is provided a detection apparatus comprising: a determining module, configured to determine whether a first signal received by a target user equipment contains a signal of an interfering user equipment; a first execution module, configured to, if the first signal includes a signal of an interfering user equipment, execute joint detection for the target user equipment and the interfering user equipment according to channel estimation results corresponding to the target user equipment and the interfering user equipment; a second executing module, configured to execute single user detection for the target user equipment according to a channel estimation result corresponding to the target user equipment if the first signal does not include a signal interfering with the user equipment.

According to the detection method provided by the embodiment of the application, in the process of detecting the MU-MIMO signals, the detection scheme matched with the current scene is selected to detect the MU-MIMO signals according to the existence of the signals interfering the user equipment, and the MU-MIMO signal detection performance can be improved.

Drawings

Fig. 1 is a system architecture diagram of a communication system applicable to an embodiment of the present application.

Fig. 2 is a schematic diagram of a receiver structure in a wireless communication system.

Fig. 3 is a schematic diagram of a receiver according to the related art.

Fig. 4 is a schematic diagram of another receiver proposed by the related art.

Fig. 5 is a schematic structural diagram of another receiver proposed in the related art.

Fig. 6 is a schematic diagram of resource allocation for a target user equipment and an interfering user equipment.

Fig. 7 is a schematic flow chart of a detection method according to an embodiment of the present application.

Fig. 8 is a schematic structural diagram of a receiver to which the detection method provided in the embodiment of the present application is applied.

Fig. 9 is a schematic diagram of a simulation result of the detection method provided in the embodiment of the present application in an application scenario.

Fig. 10 is a schematic diagram of a simulation result of the detection method provided in the embodiment of the present application in another application scenario.

Fig. 11 is a schematic structural diagram of a baseband chip provided in an embodiment of the present application.

Fig. 12 is a schematic structural diagram of a communication device provided in an embodiment of the present application.

Fig. 13 is a schematic structural diagram of a detection apparatus according to an embodiment of the present application.

Fig. 14 is a schematic structural diagram of a detection apparatus according to another embodiment of the present application.

Fig. 15 is a schematic structural diagram of a detection apparatus according to still another embodiment of the present application.

Detailed Description

The technical solution in the present application will be described below with reference to the accompanying drawings. For the convenience of understanding, the following first describes terms and communication procedures related to the embodiments of the present application with reference to fig. 1 to 4.

Communication system

The present embodiment may be applied to the wireless communication system 100 shown in fig. 1. The communication system 100 is a cellular communication system. The cellular communication system may be, for example, a Long Term Evolution (LTE) system, a fifth generation (5 g) system, a New Radio (NR), or the like.

The wireless communication system 100 may include a network device 110 and a terminal device 120. Network device 110 may be a device that communicates with terminal device 120. Network device 110 may provide communication coverage for a particular geographic area and may communicate with terminal devices 120 located within that coverage area.

Fig. 1 exemplarily shows one network device 110 and two terminal devices 120, and optionally, the wireless communication system 100 may include a plurality of network devices and may include other numbers of terminal devices within the coverage area of each network device, which is not limited in this embodiment of the present application.

The Terminal device in the embodiment of the present application may also be referred to as a User Equipment (UE), an access Terminal, a subscriber unit, a subscriber station, a Mobile Station (MS), a Mobile Terminal (MT), a remote station, a remote Terminal, a mobile device, a user Terminal, a wireless communication device, a user agent, or a user equipment. The terminal device in the embodiment of the present application may be a device providing voice and/or data connectivity to a user, and may be used for connecting people, things, and machines, such as a handheld device with a wireless connection function, a vehicle-mounted device, and the like. The terminal device in the embodiment of the present application may be a mobile phone (mobile phone), a tablet computer (Pad), a notebook computer, a palmtop computer, a Mobile Internet Device (MID), a wearable device, a Virtual Reality (VR) device, an Augmented Reality (AR) device, a wireless terminal in industrial control (industrial control), a wireless terminal in self driving (self driving), a wireless terminal in remote surgery (remote medical supply), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), and the like.

The network device in the embodiments of the present application may be a device for communicating with a terminal device, and the network device may also be referred to as an access network device or a radio access network device, for example, the network device may be a base station. The network device in this embodiment may refer to a Radio Access Network (RAN) node (or device) that accesses a terminal device to a wireless network. The embodiments of the present application do not limit the specific technologies and the specific device forms used by the network devices.

MU-MIMO

MU-MIMO may also be referred to as multi-user MIMO. The MU-MIMO system improves the overall throughput of the system by enabling the target user equipment and the interference user equipment to occupy the same time-frequency resource. The target user equipment may also be referred to as a target terminal equipment, a target user or a local user, and the interfering user equipment may also be referred to as an interfering terminal equipment or an interfering user.

Generally, demodulation reference signals (DMRSs) of the target user equipment and the interfering user equipment use the same RS sequence. The data of the target user equipment and the interfering user equipment may be distinguished by using different codes. For example, orthogonal Cover Codes (OCC) may be used to distinguish data of different user equipments.

The system model of MU-MIMO is:

y＝H _U x _U +H _I x _I +n

wherein H _U Channel model, x, representing target user equipment _U Signals representing target user equipment, H _I Channel model, x, representing interfering user equipment _I Representing a signal interfering with the user equipment and n representing noise. The system model exemplarily shows one interfering user equipment, and there may be no interfering user equipment or a plurality of interfering user equipments.

It can be seen that, in the MU-MIMO system, the signal received by the target user equipment includes a signal of the target user equipment, a signal of the interfering user equipment, and a noise signal. The target user equipment needs to acquire the signal of the target user equipment from the received signal through a certain signal processing process so as to acquire the required data.

Receiver in a wireless communication system

Fig. 2 is a schematic diagram of a receiver structure in a wireless communication system. The function of each module in the receiver is briefly described below in conjunction with fig. 2.

The radio frequency module 210 may be used to receive signals. The signal received by the rf module 210 is typically an analog signal.

The analog-to-digital conversion module 220 may be configured to receive a signal from the rf module 210 and convert the received analog signal into a digital signal for subsequent processing.

The digital front end module 230 may be configured to receive signals from the analog-to-digital conversion module 220 and process the received signals. For example, the received time domain signal may be converted to a frequency domain signal. The frequency domain signal may include a reference signal for channel estimation, among others.

The channel estimation module 240 may be configured to receive the signal y from the digital front end module 230 and perform channel estimation according to the signal y. In particular, the channel estimation module 240 may perform channel estimation based on a reference signal included in the signal y.

The demodulation module 250 may perform soft decision on the signal y according to the channel matrix H obtained by the channel estimation module 240 to obtain a soft decision signal.

The decoding module 260 may receive the soft-decision signal obtained by the demodulation module 250 and decode the soft-decision signal to obtain recovered data, where the recovered data may be in the form of a bit stream.

Fig. 2 shows only exemplarily one possible implementation form of the receiver. The receiver may also include a receive antenna or the like. In practice, some modules may be added or omitted as required.

In the MU-MIMO system, signal detection of the receiver is one of the core technologies. The main process of signal detection is as follows: and the demodulation module obtains a judgment result according to the first signal and the channel estimation result. And the judgment result is used for decoding by the decoding module.

The decision of the received signal may use either a hard decision or a soft decision. The hard decision is easy to realize, and the soft decision accuracy is high. Soft decision may refer to, for example, obtaining a soft decision result using a Log Likelihood Ratio (LLR). Soft decisions may also be referred to as soft bit detection. The decision result of the soft decision may also be referred to as a soft decision signal, a soft value, or a soft bit.

Currently, the receivers of MU-MIMO proposed by the related art can be roughly divided into three types, and the three types of receivers are briefly described below with reference to fig. 3 to 5. The receiver may refer to, for example, a user equipment.

Fig. 3 is a schematic diagram of a receiver according to the related art. In the receiver shown in fig. 3, the demodulation module 250A may use linear detection or non-linear detection. Linear detection may refer to, for example, minimum Mean Squared Error (MMSE), zero-forcing (ZF), maximum Ratio Combining (MRC), and the like. The nonlinear detection may be, for example, maximum likelihood detection (ML) or maximum a posteriori probability detection (MAP).

The signal demodulation model of the receiver shown in fig. 3 is:

y＝H _U x _U +I＝H _U x _U +(H _I x _I +n)

as can be seen from the above formula, the receiver shown in fig. 3 treats both data and noise of the interfering user equipment as interference (or noise), and does not distinguish the data of the interfering user equipment. That is, the receiver shown in fig. 3 does not take into account the interference caused by the interfering user equipment. Therefore, the detection performance of the receiver shown in fig. 3 is typically poor for MU-MIMO scenarios involving interfering user equipments.

In a MU-MIMO system, a target user equipment may acquire a pilot sequence of an interfering user equipment. Therefore, when there is an interfering ue, in order to improve the detection performance, the target ue may perform joint detection (joint detection) on the target ue and the interfering ue according to a channel estimation result of the interfering ue.

Fig. 4 is a schematic structural diagram of another receiver proposed in the related art. The demodulation module 250B of the receiver shown in fig. 4 may include linear detection 251B and non-linear detection 252B. In the detection apparatus shown in fig. 4, linear detection 251B is used to suppress interference, and nonlinear detection 252B is used to obtain a soft-decision signal.

The receiver shown in fig. 4 may also be referred to as a linear joint receiver. The receiver shown in fig. 4 will be briefly described below by taking the example where linear detection 251B uses MMSE. When MMSE is used for linear detection, the scheme shown in fig. 4 may also be referred to as joint MMSE.

As shown in fig. 4, the demodulation module 250B first performs interference suppression on the input signal by using MMSE algorithm to filter out the signal of the interfering ue. Specifically, an MMSE weighting matrix is obtained by using channel estimates of a target user equipment and an interfering user equipment:

wherein H _I Representing the channel estimate of the interfering user equipment,

conjugate transpose, σ, representing the channel estimate of the interfering user equipment ² Denotes the noise power, and I denotes the identity matrix.

The output of MMSE should ideally be a signal after filtering out interfering ues and noise. That is, the output of MMSE should only leave the data of the target user equipment and the channel estimation result of the target user equipment.

The non-linear detection 252B may determine the interference suppressed signal to obtain a soft decision signal for decoding.

The receiver shown in fig. 4 takes into account the signal of the interfering user equipment and therefore has an improved performance compared to the receiver shown in fig. 3. However, when there is a certain channel correlation between the channels of the interfering ue and the target ue, the linear method cannot suppress the interference well. Therefore, for the scenario where the channel has correlation, the receiver shown in fig. 4 cannot guarantee the best detection performance.

Fig. 5 is a schematic diagram of a structure of another receiver proposed by the related art. The demodulation module 250C of the receiver shown in fig. 5 may include mode detection 251C and non-linear detection 252C. The receiver shown in fig. 5 may also be referred to as a nonlinear joint receiver.

In the receiver shown in fig. 5, the non-linear detection not only considers the channel information of the interfering ue (e.g. the instantaneous channel information of the interfering ue), but also estimates the modulation scheme of the interfering ue, and performs joint detection on the data of the target ue by using the estimated modulation scheme of the interfering ue.

The receiver shown in fig. 5 will be briefly described below using MAP detection as an example for non-linear detection 252C. At this time, the receiver shown in fig. 5 may also be referred to as a joint MAP.

When the nonlinear detection 252C of the receiver shown in fig. 5 uses MAP detection, the LLR decision formula for the received symbols is as follows:

wherein H = [ H = _U ,H _I ]A channel matrix representing the target user equipment and the interfering user equipment,

signals representing the target user equipment and the interfering user equipment. By using the formula, a soft decision result of the signal can be obtained.

The receiver shown in fig. 5 considers both the instantaneous channel of the interfering ue and the modulation scheme of the interfering ue, so the detection result should be better theoretically.

In the above technical solutions of fig. 4 and fig. 5, although the channel estimation is performed on the interfering user equipment, it is not detected whether the interfering user equipment exists. In fact, the solutions of fig. 4 and 5 have assumed interfering user equipments when performing channel estimation. That is, it is considered that the interfering terminal device exists in the time-frequency resource allocated by the target user device.

However, in an actual scenario, whether the interfering ue exists or not is not necessarily linked to the time-frequency resource allocation of the target ue; for example, fig. 6 shows a schematic diagram of resource allocation of the target user equipment and the interfering user equipment, and as can be seen from fig. 6, time-frequency resources of the target user equipment and the interfering user equipment may be completely overlapped, may be partially overlapped, or may not be completely overlapped. When the time-frequency resources of the target ue and the interfering ue do not coincide, the receiver still assumes that the interfering ue exists to process, and at this time, the following problems may exist.

If the filtering order of the channel estimation is large enough, the channel estimation result of the interfering ue approaches 0 after averaging of a large number of samples, which does not greatly affect the performance of the subsequent joint MIMO detection (including joint MSSE or joint MAP).

However, if the filtering order of the channel estimation is small (for example, in a scenario where the delay spread is large and the doppler is large), the filtered sampling point is not enough to smooth the noise to approach 0, and the channel estimation of the interfering ue is not 0, which may affect the performance of the subsequent joint MIMO detection.

In view of the foregoing problems, embodiments of the present application provide a detection method, a baseband chip, a communication device, and a detection apparatus.

The following first describes the detection method provided by the method embodiment of the present application in detail with reference to the accompanying drawings. The method provided by the embodiment of the application can be applied to the target user equipment so as to improve the detection performance of the target user equipment.

Fig. 7 is a schematic flow chart of a detection method provided in an embodiment of the present application, and the method includes steps S710-S720.

In step S710, it is determined whether the first signal received by the target user equipment contains a signal of an interfering user equipment.

The first signal may refer to a MU-MIMO signal received by the target user equipment. The MU-MIMO signal may include only the signal of the target user equipment or both the signal of the target user equipment and the signal of the interfering user equipment.

When the first signal includes a signal interfering with the user equipment, step S720A is performed, otherwise step S720B is performed.

In step S720A, joint detection for the target ue and the interfering ue is performed according to the channel estimation results corresponding to the target ue and the interfering ue.

In this step, when it is determined that the first signal includes a signal interfering with the ue, channel estimation is performed on the received first signal to obtain a channel estimation H of the current ue _s Channel estimation H for interfering user equipment _I And performing joint detection using the result of the channel estimation.

The specific method of joint detection is not limited in the embodiment of the present application, and may be, for example, joint MMSE detection or joint MAP detection, or other joint detection methods in the related art, and in practical application, the method may be determined according to complexity and performance of a target user equipment. The specific methods of joint MMSE detection and joint MAP detection may refer to fig. 4 and fig. 5 above, and are not described herein again.

In some embodiments, the method of Joint detection described above may also be Joint linear and nonlinear (Joint MMSE + MAP) detection. As an implementation, the joint linear and nonlinear detection may be: and carrying out linear detection on the first signal to obtain a second soft decision signal. And then the second soft decision signal is used as prior information of nonlinear detection to carry out nonlinear detection on the first signal so as to obtain a first soft decision signal. The linear detection result is used as the prior information of the nonlinear detection, so that the performance loss of the nonlinear detection caused by implementation simplification can be compensated.

As an implementation, the joint linear and nonlinear detection may be: and respectively carrying out linear detection and nonlinear detection on the first signal according to the channel matrix information to obtain a second soft decision signal and a third soft decision signal. And obtaining a first soft decision signal according to the second soft decision signal and the third soft decision signal. For example, the second soft decision signal and the third soft decision signal may be weighted to obtain the soft decision signal.

In step S720B, single user detection for the target ue is performed according to the channel estimation result corresponding to the target ue.

When the first signal does not include the signal of the interference user equipment, the channel estimation is carried out on the first signal to obtain the channel estimation H of the target user equipment _s In this case, H is added _s Considered as a useful signal to estimate the second order statistical properties of the interference and background noise.

After determining the channel estimation result, estimating H according to the channel of the target user equipment _s And carrying out single-user detection. The method for detecting the single user is not specifically limited in the embodiment of the present application, and may be, for example, single user MMSE detection or single user MAP detection.

According to the above content, according to the detection method provided by the embodiment of the application, in the process of detecting the MU-MIMO signals, the detection scheme matched with the current scene is selected to detect the MU-MIMO signals according to the existence of the signals interfering the user equipment, so that the detection performance of the MU-MIMO signals can be improved.

In some embodiments, determining whether the first signal received by the target user equipment contains a signal of an interfering user equipment comprises: determining channel parameters corresponding to the first signal; based on the channel parameter, it is determined whether the first signal contains a signal of an interfering user equipment. Wherein the channel parameter may be obtained by performing channel parameter estimation on the first signal.

In some embodiments, the channel parameter is configured to indicate a channel delay spread and/or a doppler spread.

As an implementation, the above-mentioned channel delay spread or doppler spreadThe exhibition can be determined by the following method: performing channel estimation on the first signal by using a least square method, and counting a channel correlation matrix R _hh Using the mean square error formula, training all Delay spread (Delay spread) or Doppler spread (Doppler spread) values in a predefined spread set in turn to find a correlation matrix R based on the current channel _hh The spread value with the minimum mean square error is used as the estimation result of the channel delay spread or the Doppler spread.

In some embodiments, whether the first signal contains a signal of an interfering user equipment may be determined by the above-mentioned channel delay spread and/or doppler spread.

If the channel delay spread is smaller than a first threshold and the Doppler spread is smaller than a second threshold, determining that the current first signal contains a signal interfering the user equipment;

if the channel delay spread is greater than or equal to the first threshold or the doppler spread is greater than or equal to the second threshold, it may be determined that the first signal does not include a signal interfering with the user equipment.

Of course, in some embodiments of the present application, when determining the detection mode of the target ue, the detection may also be performed directly based on the channel parameter corresponding to the first signal without determining whether the first signal includes an interference signal.

The method specifically comprises the following steps: determining a channel parameter of the first signal, and performing joint detection for the target user equipment and the interfering user equipment when the channel parameter meets a preset condition; and when the channel parameter of the first signal does not meet the preset condition, executing single-user detection aiming at the target user equipment according to the channel estimation result corresponding to the target user equipment.

The channel parameter is used to indicate a channel delay spread and/or a doppler spread, and the preset condition may be that the channel delay spread is smaller than a first threshold and/or the doppler spread is smaller than a second threshold.

The following describes a specific application of the detection method provided in the embodiment of the present application in a receiver with reference to fig. 8.

Fig. 8 shows a structure of a receiver to which the detection method provided by the embodiment of the present application is applied. The receiver 800 in fig. 8 includes:

the rf module 810 is used for receiving a signal, which is usually an analog signal.

The analog-to-digital conversion module 820 is configured to receive a signal from the radio frequency module 810 and convert the received analog signal into a digital signal for subsequent processing.

The digital front end module 830 is configured to receive a signal from the analog-to-digital conversion module 820 and process the received signal. For example, the received time domain signal may be converted to a frequency domain signal. The frequency domain signal may include a reference signal for channel estimation, among others.

A channel parameter estimation module 840, configured to receive a signal from the digital front end module 830, perform channel parameter estimation on the received signal, and estimate channel delay spread and doppler spread.

When estimating the channel parameters, a first threshold and a second threshold may be set for the channel delay spread and the doppler spread, respectively, and it is determined whether a signal interfering the user equipment exists currently according to a relationship between the channel delay spread and the first threshold and/or a relationship between the doppler spread and the second threshold.

A demodulation module 850, configured to receive the signal from the channel parameter estimation module 840, and perform joint detection for the target ue and the interfering ue according to a result of channel parameter estimation or perform single user detection for the target ue according to a result of channel estimation corresponding to the target ue.

The demodulation module 850 includes a first demodulation path and a second demodulation path, wherein the first demodulation path is used for performing joint detection when the first signal contains a signal of an interfering user equipment; the second demodulation path is used for the signal that the first signal does not contain interfering user equipment, and single user detection is performed.

The first demodulation path includes a first channel estimation module 851A and a joint detection unit 852A. Wherein, the first channel estimation module 851A is used for estimating the channel estimation H of the target user equipment _s And (C) aChannel estimation H for interfering user equipment _I (ii) a The joint detection unit 852A is configured to perform joint detection according to the result of the channel estimation, and the joint detection scheme adopted by the joint detection unit 852A may be any one of joint linear detection, joint nonlinear detection, or joint linear and nonlinear detection.

The second demodulation path includes a second channel estimation block 851B and a single-user detection unit 852B. Wherein the second channel estimation module 851B is used for estimating the channel estimation H of the target user equipment _s (ii) a The single-user detection unit 852B is used for channel estimation H using the target ue _s Carrying out single-user detection; the single-user detection scheme employed by the single-user detection unit 852B may be single-user linear detection or single-user non-linear detection.

The decoding module 860 may receive and decode the signal obtained by the demodulation module 850 to obtain recovered data, where the recovered data may be in the form of a bit stream.

The following further describes the technical solution of the present application with reference to several examples of application scenarios and simulation results of each application scenario.

In the first scenario, there is also an interfering ue on the time-frequency resource occupied by the target ue, and the current channel condition is a scenario of low channel delay spread and low doppler spread. Both the technical solution of the present application and the related art solution shown in fig. 3 perform channel estimation of the interfering ue, and perform joint detection. Therefore, the solution of the present application is superior to the solution of the related art shown in fig. 2 and has performance comparable to the solution shown in fig. 3.

And in a second scenario, the target user equipment does not exist in the time-frequency resources occupied by the target user equipment, and the current channel condition is a scenario with large channel delay spread and large Doppler spread. In the technical solution shown in fig. 3, it is assumed that an interfering ue exists, and channel estimation of the interfering ue is performed. However, in this scenario, due to the limited filtering order, the channel estimate of the interfering user equipment does not approach 0, which does not match the real scenario, resulting in degraded receiver performance. In the technical scheme of the application, according to the channel delay spread and the Doppler spread, the fact that the current signal does not contain the signal of the interference user equipment can be determined, and therefore channel estimation and joint detection of the interference user equipment cannot be conducted. Therefore, the performance of the detection method provided by the application is equivalent to that of the technical scheme shown in FIG. 2 and is better than that of the technical scheme shown in FIG. 3.

Fig. 9 and fig. 10 are schematic diagrams of simulation results of the two application scenarios.

The simulation conditions of fig. 9 are: two users (a target user device and an interference user device), two-sending and four-receiving (2 x 4 antennae), multi-path time delay TDLA, doppler spread of 10KHz, signal modulation mode of 64QAM and low correlation channel. In fig. 9, curves L91 and L92 are simulation results of the schemes shown in fig. 2 and 3, respectively, and a curve L93 is a simulation result of the scheme of the embodiment of the present application.

As shown in fig. 9, under the above simulation conditions, the performance of the solution provided by the embodiment of the present application is comparable to that of the solution in fig. 3, and better than that of the solution shown in fig. 2.

The simulation conditions in fig. 10 are one target user equipment (non-interference user equipment), one transmission and four reception (1 × 4 antenna), multipath delay TDLC, doppler spread of 100KHz, signal modulation mode of 64QAM, and low correlation channel.

In fig. 10, curves L101 and L102 are simulation results of the schemes shown in fig. 2 and 3, respectively, and a curve L103 is a simulation result of the scheme of the embodiment of the present application.

As shown in fig. 9, under the above simulation conditions, the performance of the solution provided by the embodiment of the present application is comparable to that of the solution in fig. 2, and better than that of the solution shown in fig. 3.

From the simulation results, the detection method provided by the embodiment of the application has better performance in different scene directions through the detection method matched with the current application scene aiming at different scenes, so that the overall receiver performance is improved.

Fig. 11 is a schematic structural diagram of a baseband chip 1100 provided in an embodiment of the present application. The baseband chip 1100 shown in fig. 11 includes:

the memory 1110 stores programs.

The processor 1120 is used for calling the program stored in the memory 1110 to make the baseband chip 1100 execute the steps of any one of the methods described above.

Fig. 12 is a schematic structural diagram of a communication device 1200 according to an embodiment of the present application, where the communication device 1200 includes: a baseband chip 1210 and a radio frequency chip 1220, wherein the baseband chip 1210 may be the baseband chip 1100 shown in fig. 11.

Fig. 13 is a schematic structural diagram of a detection apparatus 1300 according to an embodiment of the present application. The detection apparatus 1300 in fig. 13 includes:

a determining module 1310 configured to determine whether the first signal received by the target user equipment includes a signal of an interfering user equipment.

A first executing module 1320, configured to, if the first signal includes a signal of an interfering ue, execute joint detection for the target ue and the interfering ue according to channel estimation results corresponding to the target ue and the interfering ue

A second performing module 1330, configured to, if the first signal does not include a signal of an interfering ue, perform single user detection for the target ue according to a channel estimation result corresponding to the target ue.

Optionally, the determining module 1310 is configured to: determining a channel parameter corresponding to the first signal; determining whether the first signal comprises a signal of the interfering user equipment according to the channel parameter.

Optionally, the determining whether the first signal includes a signal of the interfering user equipment according to the channel parameter includes: determining that the first signal comprises a signal of the interfering user equipment if the channel delay spread is smaller than a first threshold and the Doppler spread is smaller than a second threshold; and/or determining that the first signal does not comprise a signal of the interfering user equipment if the channel delay spread is greater than or equal to the first threshold or the doppler spread is greater than or equal to the second threshold.

Fig. 14 is a schematic structural diagram of a detection apparatus 1400 according to another embodiment of the present application. The detection apparatus 1400 in fig. 14 includes:

a determining module 1410, configured to determine a channel parameter corresponding to the first signal received by the target user equipment.

A first performing module 1420, configured to perform joint detection for the target ue and the interfering ue if the channel parameter satisfies a preset condition.

A second executing module 1430, configured to execute single user detection for the target ue according to a channel estimation result corresponding to the target ue if the channel parameter does not satisfy the preset condition.

Fig. 15 is a schematic structural diagram of a detection apparatus 1500 according to still another embodiment of the present application. The dashed lines in fig. 15 indicate that the unit or module is optional. The apparatus 1500 may be used to implement the methods described in the method embodiments of the present application. The apparatus 1500 may be a chip, a terminal device, or a network device.

The apparatus 1500 may include one or more processors 1510. The processor 1510 may support the apparatus 1500 to implement the methods described in the method embodiments below. The processor 1510 may be a general purpose processor or a special purpose processor. For example, the processor may be a Central Processing Unit (CPU). Alternatively, the processor may be other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off the shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The apparatus 1500 may also include one or more memories 1520. The memory 1520 has stored thereon a program that is executable by the processor 1510 to cause the processor 1510 to perform the methods described in the previous method embodiments. The memory 1520 may be separate from the processor 1510 or may be integrated in the processor 1510.

The apparatus 1500 may also include a transceiver 1530. The processor 1510 may communicate with other devices or chips through the transceiver 1530. For example, the processor 1510 may transceive data with other devices or chips through the transceiver 1530.

An embodiment of the present application further provides a computer-readable storage medium for storing a program. The computer-readable storage medium can be applied to the terminal or the network device provided in the embodiments of the present application, and the program causes the computer to execute the method performed by the terminal or the network device in the embodiments of the present application.

The embodiment of the application also provides a computer program product. The computer program product includes a program. The computer program product can be applied to the terminal or the network device provided by the embodiment of the application, and the program enables the computer to execute the method executed by the terminal or the network device in the various embodiments of the application.

The embodiment of the application also provides a computer program. The computer program can be applied to the terminal or the network device provided in the embodiments of the present application, and the computer program enables the computer to execute the method performed by the terminal or the network device in the embodiments of the present application.

It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not imply any order of execution, and the order of execution of the processes should be determined by their functions and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware or any other combination. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a Digital Video Disc (DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method of detection, comprising:

determining whether a first signal received by a target user equipment contains a signal of an interfering user equipment;

if the first signal contains a signal of interference user equipment, performing joint detection aiming at the target user equipment and the interference user equipment according to a channel estimation result corresponding to the target user equipment and the interference user equipment;

and if the first signal does not contain the signal of the interference user equipment, executing single-user detection aiming at the target user equipment according to the channel estimation result corresponding to the target user equipment.

2. The method of claim 1, wherein determining whether the first signal received by the target ue contains a signal of an interfering ue comprises:

determining a channel parameter corresponding to the first signal;

determining whether the first signal comprises a signal of the interfering user equipment according to the channel parameter.

3. The method of claim 2, wherein the channel parameter is used to indicate one or more of:

channel delay spread; and

the doppler spread.

4. The method of claim 3, wherein the determining whether the first signal contains the signal of the interfering UE according to the channel parameter comprises:

if the channel delay spread is smaller than a first threshold and the Doppler spread is smaller than a second threshold, determining that the first signal comprises a signal of the interference user equipment; and/or

Determining that the first signal does not comprise a signal of the interfering user equipment if the channel delay spread is greater than or equal to the first threshold or the Doppler spread is greater than or equal to the second threshold.

5. A method of detection, comprising:

determining a channel parameter corresponding to a first signal received by target user equipment;

if the channel parameters meet preset conditions, performing joint detection for the target user equipment and the interfering user equipment;

and if the channel parameter does not meet the preset condition, executing single user detection aiming at the target user equipment according to a channel estimation result corresponding to the target user equipment.

6. The method of claim 5, wherein the channel parameter is used to indicate one or more of:

channel delay spread; and

the doppler spread.

7. The method according to claim 6, wherein the preset condition comprises:

the channel delay spread is less than a first threshold; and/or

The doppler spread is less than a second threshold.

8. A baseband chip, comprising:

a memory for storing a program;

a processor for invoking a program stored in the memory to cause the baseband chip to perform the method of any of claims 1-4 or 5-7.

9. A communication device comprising the baseband chip of claim 8 and a radio frequency chip.

10. A detection device, comprising:

a determining module, configured to determine whether a first signal received by a target user equipment includes a signal of an interfering user equipment;

a first execution module, configured to, if the first signal includes a signal of an interfering user equipment, execute joint detection for the target user equipment and the interfering user equipment according to channel estimation results corresponding to the target user equipment and the interfering user equipment;

a second executing module, configured to execute single user detection for the target user equipment according to a channel estimation result corresponding to the target user equipment if the first signal does not include a signal interfering with the user equipment.