Method of calibrating a test environment and system therefor

Abstract

A method of calibrating a test environment and a system thereof are described, wherein the method comprises: measuring, by a measurement device located in a darkroom, a standard signal and noise, wherein the standard signal is transmitted from a base station simulator and passes through a channel simulator, and then the noise is added inside the channel simulator and output to a plurality of antennas in the darkroom; obtaining, by a computing device, measurement information based on the standard signal and the noise transmitted from the measurement device; determining, by the computing device, whether the measurement information is within a predetermined range of a target value; and when the measurement information is not within the predetermined range of the target value, sending, by the computing device, a control signal to the channel simulator to adjust the noise output from the channel simulator, so that the computing device obtains required measurement information according to the standard signal and the adjusted noise.

Description

Technical Field

[0001] This invention relates generally to over-the-air (OTA) testing technology. In particular, it relates to methods and systems for calibrating test environments. Background Technology

[0002] The background description provided herein is for the purpose of generally presenting the content of this invention. Within the scope of the work described in this background section, neither the work of the currently identified inventors nor aspects of the specification that could not be classified as prior art at the time of submission are expressly or impliedly acknowledged as prior art in relation to this invention.

[0003] For the performance testing and evaluation of Multiple Input Multiple Output (MIMO) communication devices, both in the R&D and certification phases, channel models are heavily relied upon. Traditional communication devices typically utilize over-the-air (OTA) testing for final performance evaluation. OTA testing uses an anechoic chamber to create a reflection-free free space to evaluate the overall performance of the communication device's radio frequency and antenna.

[0004] In MIMO OTA technology, which is proposed for evaluating multi-antenna devices, the channel model must be realistically reproduced in the laboratory, and the target channel environment must be simulated using OTA testing in the laboratory environment to verify the overall performance of the device.

[0005] In NR MIMO OTA testing environments, channel emulators are used to generate channel models, thereby obtaining a multipath environment similar to that in the field within the anechoic chamber. The noise added by the channel emulator includes, but is not limited to, fixed signal-to-noise ratio (SNR) and fixed noise power spectral density. Practice has shown that using channel emulators from different manufacturers, even with the same SNR setting, will yield inconsistent test results. This is because the internal hardware and software implementations of channel emulators from different manufacturers differ, and the system environments are complex, making it impossible to guarantee a completely consistent SNR received by the device under test (DUT) at the center of the anechoic chamber. Therefore, how to effectively calibrate (or align) the test environment at the center of the anechoic chamber is a pressing technical problem that needs to be solved. Summary of the Invention

[0006] The following summary is illustrative only and is not intended to be limiting in any way. That is, it is provided to introduce the concepts, key points, benefits, and advantageous effects of the novel and non-obvious techniques described herein. Selected embodiments are further described in the detailed description below. Therefore, the following summary is not intended to identify the essential features of the claimed subject matter, nor is it intended to define the scope of the claimed subject matter.

[0007] Therefore, the main objective of this invention is to provide a method and system for calibrating different testing environments to overcome the aforementioned problems.

[0008] In an embodiment, the present invention provides a method for calibrating a test environment. The method includes: measuring a standard signal and noise using a measuring device located in an anechoic chamber, wherein the standard signal is transmitted from a base station simulator and passes through a channel simulator, and then noise is added inside the channel simulator before being output to multiple antennas within the anechoic chamber; obtaining measurement information using a computing device based on the standard signal and the noise transmitted from the measuring device; determining whether the measurement information is within a predetermined range of a target value; and when the measurement information is not within the predetermined range of the target value, sending a control signal to the channel simulator to adjust the noise output from the channel simulator, thereby enabling the computing device to obtain the desired measurement information based on the standard signal and the adjusted noise.

[0009] In this embodiment, the measurement information includes at least one or two of the following parameters: signal-to-noise ratio, signal strength, and noise power.

[0010] In this embodiment, the signal strength is the received power of a specific reference signal, or the total power of the full-bandwidth signal.

[0011] In an embodiment, the specific reference signal is a downlink reference signal, a synchronization signal, and a physical broadcast channel block signal or a pilot reference signal.

[0012] In this embodiment, the predetermined range is plus or minus 10 percent of the target value.

[0013] In this embodiment, the measuring device is a spectrum analyzer, a power meter, or a user equipment.

[0014] In an embodiment, the present invention provides a system for calibrating a test environment. The system includes: a base station simulator, a channel simulator coupled to the base station simulator, multiple antennas in an anechoic chamber, a measuring device, and a computing device. The multiple antennas are coupled to the channel simulator. The measuring device is located in the anechoic chamber and measures a standard signal and noise, wherein the standard signal is transmitted from the base station simulator, passes through the channel simulator, and then noise is added within the channel simulator before being output to the multiple antennas in the anechoic chamber. The computing device is coupled to the measuring device and the channel simulator. The computing device obtains measurement information based on the standard signal and the noise transmitted from the measuring device. The computing device determines whether the measurement information is within a predetermined range of a target value. When the measurement information is not within the predetermined range of the target value, the computing device sends a control signal to the channel simulator to adjust the noise output from the channel simulator, thereby enabling the computing device to obtain the desired measurement information based on the standard signal and the adjusted noise.

[0015] In an embodiment, the present invention provides a method for calibrating a test environment. The method is applied to a computing device. The method includes: receiving a standard signal and noise measured by a measuring device located in an anechoic chamber, wherein the standard signal is transmitted from a base station simulator and passes through a channel simulator, and then the noise is added inside the channel simulator before being output to multiple antennas within the anechoic chamber; obtaining measurement information based on the standard signal and the noise; determining whether the measurement information is within a predetermined range of a target value; and when the measurement information is not within the predetermined range of the target value, sending a control signal to the channel simulator to adjust the noise output from the channel simulator, thereby enabling the computing device to obtain the desired measurement information based on the standard signal and the adjusted noise.

[0016] The method and system for calibrating the test environment provided by this invention can effectively calibrate the test environment. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the invention and are incorporated in and constitute a part of this invention. The drawings depict embodiments of the invention and, together with the description, serve to explain the principles of the invention. It is understood that, in order to clearly illustrate the concepts of the invention, the drawings are not necessarily drawn to scale, and some components shown may be depicted at a scale greater than that in the actual embodiments.

[0018] Figure 1 A schematic diagram of a calibration test environment system according to an embodiment of the present invention is shown.

[0019] Figure 2 A flowchart illustrating a method for calibrating a test environment according to an embodiment of the present invention is shown.

[0020] Figure 3A flowchart illustrating a method for calibrating a test environment according to an embodiment of the present invention is shown.

[0021] Figure 4 A schematic operating environment for implementing embodiments of the present invention is shown. Detailed Implementation

[0022] Certain terms are used in the specification and claims to refer to specific elements. Those skilled in the art will understand that hardware manufacturers may use different names to refer to the same element. This specification and claims do not distinguish elements by differences in name, but rather by differences in function. The term "comprising" as used throughout the specification and claims is an open-ended term and should be interpreted as "comprising but not limited to." Furthermore, the term "coupled" herein includes any direct and indirect electrical connection means. Therefore, if the text describes a first device coupled to a second device, it means that the first device can be directly electrically connected to the second device, or indirectly electrically connected to the second device through other devices or connection means.

[0023] The following description describes the preferred embodiments of the invention for the purpose of illustrating the principles of the invention and is not intended to limit the invention. It is understood that the embodiments of the invention can be implemented by software, hardware, firmware, or any combination thereof.

[0024] Figure 1 A schematic diagram of a system 100 for a calibration test environment according to an embodiment of the present invention is shown, wherein the test environment may be a multiple-input multiple-output (MIMO) OTA test environment.

[0025] like Figure 1 As shown, the MIMO OTA test system 100 includes a base station simulator 110, a channel simulator 120, an anechoic chamber 130, a measurement device 140, and a computing device 150, wherein the channel simulator 120 is coupled to the base station simulator 110 and test antennas 132 in multiple anechoic chambers 130.

[0026] The measuring device 140 has an adaptive antenna system that actively adjusts the antenna configuration, signal processing, or both. In one embodiment, the measuring device is a spectrum analyzer, power meter, or user equipment.

[0027] The base station simulator 110 can be used to simulate the functions of a base station transceiver in a wireless network.

[0028] The channel simulator 120 connected to the base station simulator 110 can be used to help accurately simulate real-life channels (e.g., by simulating the effects of multipath propagation, variable delays for each path, etc.).

[0029] If needed, the anechoic chamber 130 can have a cubic structure (six square walls) or a rectangular prism structure (six rectangular walls). Multiple antennas, such as test antennas 132, may be located around the circumference of the anechoic chamber 130. A scenario where the anechoic chamber 130 has a cubic structure with eight test antennas 132 centered on the measuring device 140 is merely one example. Typically, any number of test antennas 132 can be used at any location within the anechoic chamber 130. The test antennas 132 can be horn antennas or other types of antennas.

[0030] The computing device 150 can receive measurement information from the measuring device 140 and transmit signals to the base station simulator 110 and the channel simulator 120 via wireless communication, and the computing device 150 includes a processor and a memory that can store programs.

[0031] The measuring device 140 can measure a standard signal and noise, wherein the standard signal is transmitted from the base station simulator 110 and passes through the channel simulator 120, and then outputs along with the noise to multiple antennas in the anechoic chamber 130. The computing device 150 then obtains measurement information based on the standard signal and noise transmitted by the measuring device 140, and determines whether the test environment must be calibrated based on the measurement information.

[0032] The type of computing device 150 can range from small handheld devices such as mobile phones and handheld computers to mainframe systems such as mainframe computers. Examples of handheld computers include personal digital assistants (PDAs) and laptops. In another embodiment, computing device 150 can be used with components, systems, subsystems, and / or devices other than those described herein. For example, computing device 150 can also be integrated with measuring device 140 as a device located in darkroom 130.

[0033] In addition, although Figure 1 Only the base station simulator 110, channel simulator 120, anechoic chamber 130, measuring device 140, and computing device 150 are shown in the diagram. However, those skilled in the art will understand that other devices, such as amplifiers and signal mapping devices, may be included between the channel simulator 120 and the anechoic chamber 130. Since other devices are not the focus of the implementation of the system 100 in this embodiment of the invention, they will not be described in detail here.

[0034] It should be understood that Figure 1 The computing device 150 shown is an example of a suitable system 100 architecture for calibrating a test environment.

[0035] Figure 1 Each component shown can be implemented using any type of computing device, for example, reference Figure 3 The computing device 300 described.

[0036] Figure 2 A flowchart 200 illustrating a method for calibrating a test environment according to an embodiment of the present invention is shown, wherein the method may be performed by... Figure 1 The measuring device 140 and the computing device 150 are used or executed.

[0037] In step S205, the measuring device measures a standard signal and noise, wherein the standard signal is sent from the base station simulator and passes through the channel simulator, and then noise is added inside the channel simulator before being output to multiple antennas in the anechoic chamber.

[0038] Then, in step S210, the computing device obtains measurement information based on the standard signal and noise sent from the measuring device, wherein the measurement information includes at least one or two of the following parameters: signal-to-noise ratio (SNR), signal strength, and noise power.

[0039] In one embodiment, the signal strength is the received power of a specific reference signal, or the total power of the full-bandwidth signal, wherein the specific reference signal is a downlink reference signal, a synchronization signal and a Physical Broadcast Channel (PBCH) block (SSB) signal, a pilot reference signal, or other reference signal.

[0040] Next, in step S215, the computing device determines whether the measurement information is within a predetermined range of the target value, wherein the target value is defined in the test specification. In one embodiment, the predetermined range is plus or minus ten percent (±10%) of the target value.

[0041] When the measurement information is not within the predetermined range of the target value (No in step S215), in step S220, the computing device sends a control signal to the channel simulator to adjust the noise output from the channel simulator, so that the computing device can obtain the required measurement information based on the standard signal and the adjusted noise.

[0042] Returning to step S215, when the measurement information is within the predetermined range of the target value ("Yes" in step S215), in step S225, the computing device determines that the test environment does not need to be calibrated and ends the process.

[0043] Figure 3 This is a flowchart 300 of a method for calibrating a test environment according to an embodiment of the present invention, wherein the method may be performed by... Figure 1 The computing device 150 performs the operation.

[0044] In step S305, the computing device receives a standard signal and noise measured by a measuring device located in an anechoic chamber. The standard signal is sent from a base station simulator and passes through a channel simulator. Noise is then added inside the channel simulator before the signal is output to multiple antennas in the anechoic chamber.

[0045] Then, in step S310, the computing device obtains measurement information based on standard signals and noise, wherein the measurement information includes at least one or two of the following parameters: signal-to-noise ratio, signal strength, and noise power.

[0046] In one embodiment, the signal strength is the received power of a specific reference signal, or the total power of the full-bandwidth signal, wherein the specific reference signal is a downlink reference signal, a synchronization signal and PBCH block (SSB) signal, a pilot reference signal, or another reference signal.

[0047] Next, in step S315, the computing device determines whether the measurement information is within a predetermined range of the target value, wherein the target value is defined in the test specification. In one embodiment, the predetermined range is plus or minus ten percent (±10%) of the target value.

[0048] When the measurement information is not within the predetermined range of the target value (No in step S315), in step S320, the computing device sends a control signal to the channel simulator to adjust the noise output from the channel simulator, so that the computing device can obtain the required measurement information based on the standard signal and the adjusted noise.

[0049] Returning to step S315, when the measurement information is within the predetermined range of the target value ("Yes" in step S315), in step S325, the computing device determines that the test environment does not need to be calibrated and ends the process.

[0050] This invention provides several embodiments. The first to third embodiments involve measuring information including one of the following parameters: SNR, signal strength, and noise power. The fourth to sixth embodiments involve measuring information including two of the following parameters: SNR, signal strength, and noise power. The first embodiment will be described first.

[0051] [First Embodiment]

[0052] The computing device first acquires the parameter configuration X1 of the base station simulator and the channel simulator. Then, the computing device obtains a signal-to-noise ratio (SNR) of value A1 based on the standard signal and noise measured by the measuring device in an anechoic chamber. The computing device compares A1 with a target value E1, which is defined in the test specification. When A1 is not within a predetermined range of the target value E1 (e.g., ±10%), the computing device sends a control signal to the channel simulator to adjust the noise output of the channel simulator, thereby enabling the computing device to obtain the desired SNR based on the standard signal and the adjusted noise. Specifically, the computing device sends a control signal to the channel simulator to adjust the configuration of the channel simulator so that the channel simulator can output the desired noise to obtain the desired SNR. The above measurement process is repeated until A1 meets the requirement (A1 is within the predetermined range of the target value E1). The SNR calibration of parameter configuration X1 is completed. Similarly, for different parameter configurations of the base station simulator and the channel simulator, the adjusted parameter configuration can be obtained according to this process.

[0053] [Second Embodiment]

[0054] The computing device first acquires the parameter configuration X1 of the base station simulator and the channel simulator. Then, the computing device obtains a signal strength of value B1 based on the standard signal and noise measured by the measuring device in an anechoic chamber. The computing device compares B1 with a target value F1, which is defined in the test specification. When B1 is not within a predetermined range of the target value F1 (e.g., ±10%), the computing device sends a control signal to the channel simulator to adjust the noise output by the channel simulator, thereby enabling the computing device to obtain the desired signal strength based on the standard signal and the adjusted noise. Specifically, the computing device sends a control signal to the channel simulator to adjust the configuration of the channel simulator so that the channel simulator can output the desired noise to obtain the desired signal strength. The above measurement process is repeated until B1 meets the requirement (B1 is within the predetermined range of the target value F1). The signal strength calibration of parameter configuration X1 is completed. Similarly, for different parameter configurations of the base station simulator and the channel simulator, the adjusted parameter configuration can be obtained according to this process.

[0055] [Third Embodiment]

[0056] The computing device first acquires the parameter configuration X1 of the base station simulator and the channel simulator. Then, the computing device obtains a noise power value C1 based on the standard signal and noise measured by the measuring device in an anechoic chamber. The computing device compares C1 with a target value G1, which is defined in the test specification. When C1 is not within a predetermined range of the target value G1 (e.g., ±10%), the computing device sends a control signal to the channel simulator to adjust the noise output of the channel simulator, thereby enabling the computing device to obtain the desired signal strength based on the standard signal and the adjusted noise. Specifically, the computing device sends a control signal to the channel simulator to adjust the configuration of the channel simulator so that the channel simulator can output the desired noise to obtain the desired noise power. The above measurement process is repeated until C1 meets the requirement (C1 is within the predetermined range of the target value G1). The noise power calibration of parameter configuration X1 is completed. Similarly, for different parameter configurations of the base station simulator and the channel simulator, the adjusted parameter configuration can be obtained according to this process.

[0057] [Fourth Embodiment]

[0058] The computing device pre-acquires the parameter configuration X1 of the base station simulator and the channel simulator. Then, based on the standard signal and noise measured by the measuring device in an anechoic chamber, the computing device obtains a signal-to-noise ratio (SNR) of value A1 and a signal strength of value B1. The computing device compares A1 and B1 with target values ​​E1 and F1, respectively, where the target values ​​are defined in the test specification. When A1 is not within a predetermined range of the target value E1 (e.g., ±10%) and B1 is not within a predetermined range of the target value F1 (e.g., ±10%), the computing device sends a control signal to the channel simulator to adjust the noise output by the channel simulator, thereby enabling the computing device to obtain the desired SNR and signal strength based on the standard signal and the adjusted noise. Specifically, the computing device sends a control signal to the channel simulator to adjust the channel simulator's configuration so that the channel simulator can output the desired noise to obtain the desired SNR and signal strength. The above measurement process is repeated until A1 and B1 meet the requirements (A1 is within a predetermined range of the target value E1, and B1 is within a predetermined range of the target value F1). The signal-to-noise ratio (SNR) and signal strength calibration for parameter configuration X1 are now complete. Similarly, for different parameter configurations of the base station simulator and channel simulator, the adjusted parameter configurations can be obtained by following this process.

[0059] [Fifth Embodiment]

[0060] The computing device pre-acquires the parameter configuration X1 of the base station simulator and the channel simulator. Then, based on the standard signal and noise measured by the measuring device in an anechoic chamber, the computing device obtains a signal-to-noise ratio (SNR) of value A1 and a noise power of value C1. The computing device compares A1 and C1 with target values ​​E1 and G1, respectively, where the target values ​​are defined in the test specification. When A1 is not within a predetermined range of the target value E1 (e.g., ±10%) and C1 is not within a predetermined range of the target value G1 (e.g., ±10%), the computing device sends a control signal to the channel simulator to adjust the noise output by the channel simulator, thereby enabling the computing device to obtain the desired SNR and noise power based on the standard signal and the adjusted noise. Specifically, the computing device sends a control signal to the channel simulator to adjust the channel simulator's configuration so that the channel simulator can output the desired noise to obtain the desired SNR and noise power. The above measurement process is repeated until A1 and C1 meet the requirements (A1 is within a predetermined range of the target value E1, and C1 is within a predetermined range of the target value G1). The signal-to-noise ratio (SNR) calibration and noise power calibration for parameter configuration X1 are complete. Similarly, for different parameter configurations of the base station simulator and channel simulator, the adjusted parameter configurations can be obtained according to this process.

[0061] [Sixth Embodiment]

[0062] The computing device pre-acquires the parameter configuration X1 of the base station simulator and the channel simulator. Then, based on the standard signal and noise measured by the measuring device in an anechoic chamber, the computing device obtains a signal strength value B1 and a noise power value C1. The computing device compares B1 and C1 with target values ​​F1 and G1, respectively, where the target values ​​are defined in the test specification. When B1 is not within a predetermined range of the target value F1 (e.g., ±10%) and C1 is not within a predetermined range of the target value G1 (e.g., ±10%), the computing device sends a control signal to the channel simulator to adjust the noise output by the channel simulator, thereby enabling the computing device to obtain the desired signal strength and noise power based on the standard signal and the adjusted noise. Specifically, the computing device sends a control signal to the channel simulator to adjust the channel simulator's configuration so that the channel simulator can output the desired noise to obtain the desired signal strength and noise power. The above measurement process is repeated until B1 and C1 meet the requirements (B1 is within a predetermined range of the target value F1, and C1 is within a predetermined range of the target value G1). The signal strength calibration and noise power calibration of parameter configuration X1 are then complete. Similarly, for different parameter configurations of the base station simulator and the channel simulator, the adjusted parameter configuration can be obtained according to this process.

[0063] It should be noted that although the first to sixth embodiments use measurement information including one or two of the following parameters—SNR, signal strength, and noise power—those skilled in the art will understand that the measurement information can include all parameters. The computing device can compare all three parameters with corresponding target values ​​to adjust the noise output from the channel simulator.

[0064] Therefore, the method and system for calibrating the test environment provided in the embodiments of the present invention can facilitate the construction of test environments in various channel simulators and different systems, and obtain consistent results.

[0065] The embodiments of the present invention have been described above; the exemplary operating environment in which the embodiments of the present invention can be implemented is described below. References Figure 4 An exemplary operating environment for implementing embodiments of the present invention is shown and is generally referred to as computing device 400. Computing device 400 is merely an example of a suitable computing environment and is not intended to limit its scope of use or functionality. Computing device 400 should also not be construed as having any dependencies or requirements associated with any one or combination of the components shown.

[0066] This invention can be implemented using computer code or machine-usable instructions, including computer-executable instructions, such as program modules, executed by a computer or other machine, such as a personal data assistant (PDA) or other handheld device. Typically, a program module can include routines, programs, objects, components, data structures, etc., and refers to code that performs a specific task or implements a specific abstract data type. This invention can be implemented in various system configurations, including handheld devices, consumer electronics, general-purpose computers, and more specialized computing devices. This invention can also be implemented in a distributed computing environment, where processing devices linked via a communication network remotely execute tasks.

[0067] like Figure 4 As shown, computing device 400 may include a bus 410 directly or indirectly coupled to the following devices: one or more memories 412, one or more processors 414, one or more display components 416, one or more input / output (I / O) ports 418, one or more input / output components 420, and a power supply 422. Bus 410 may represent one or more buses (e.g., an address bus, a data bus, or any combination thereof). Although for clarity... Figure 4 The lines illustrate the various blocks, but in reality, they do not define the boundaries of the individual components. For example, the display components of a display device can be considered I / O components, and a processor can include memory.

[0068] Computing device 400 typically includes a variety of computer-readable media. Computer-readable media can be any available medium accessible by computing device 400, and includes volatile and non-volatile media, removable and non-removable media. By way of example and not limitation, computer-readable media can include computer storage media and communication media. Computer storage media can include volatile and non-volatile, removable and non-removable media implemented using any method or technology for storing information such as computer-readable instructions, data structures, program modules, or other data. Computer storage media can include, but is not limited to, random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other storage technologies, optical disc read-only memory (CD-ROM), digital versatile disk (DVD) or other optical disc storage, magnetic tape, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by computing device 400. Computer storage media may not include the signal itself.

[0069] Communication media are typically embodied in modulated data signals, such as carrier waves or other transmission mechanisms, as computer-readable instructions, data structures, program modules, or other data, and include any information transmission medium. The term "modulated data signal" refers to a signal having one or more properties that are set or altered in a way that encodes information within the signal. As an example, and not a limitation, communication media include wired media such as wired networks or direct wired connections, and wireless media such as acoustic, RF, infrared, and other wireless media, or any combination thereof.

[0070] Memory 412 may include computer storage media in the form of volatile and / or non-volatile memory. Memory may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid-state memory, hard disk drives, optical disk drives, etc. Computing device 400 includes one or more processors that read data from various entities such as memory 412 or I / O components 420. Display component 416 presents data indications to a user or other device. Exemplary display components include display devices, speakers, printing components, vibration components, etc.

[0071] I / O port 418 allows computing device 400 to be logically coupled to other devices including I / O components 420, some of which may be embedded. Illustrative components include microphones, joysticks, game controllers, satellite antennas, scanners, printers, wireless devices, etc. I / O component 420 can provide a natural user interface (NUI) for processing gestures, voice, or other physiological input generated by a user. For example, input can be transmitted to appropriate network elements for further processing. NUIs can be implemented to enable voice recognition, touch and stylus recognition, facial recognition, biometric recognition, on-screen and near-screen gesture recognition, air gestures, head and eye tracking, touch recognition, or any combination thereof associated with a display on computing device 400. Computing device 400 may be equipped with depth cameras, such as stereo camera systems, infrared camera systems, RGB camera systems, or any combination thereof, to enable gesture detection and recognition. Furthermore, computing device 400 may be equipped with accelerometers or gyroscopes capable of detecting motion. The output of the accelerometer or gyroscope can be provided to the display of computing device 400 to perform immersive augmented reality or virtual reality.

[0072] Furthermore, the processor 414 in the computing device 400 can execute program code in the memory 412 to perform the above-described actions and steps or other descriptions herein.

[0073] It should be understood that any particular order or hierarchy of steps in any disclosed process is merely an example. It should be understood that a particular order or hierarchy of steps in the process can be rearranged based on design preferences while remaining within the scope of this invention. The appended method claims present the elements of the various steps in an exemplary order and are not intended to limit one to the specific order or hierarchy presented.

[0074] Ordinal terms such as "first," "second," and "third" used in claims do not imply any priority, precedence, or that one element is superior to another or that the order of execution of a method is higher. They are merely labels used to distinguish an element with a specific name from another element with the same name (except for the ordinal term).

[0075] Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the scope of the present invention. Any changes and modifications made by those skilled in the art without departing from the spirit and scope of the present invention shall fall within the scope of the present invention.

Claims

1. A method for calibrating a test environment, comprising: A measuring device located in a dark room measures a standard signal and noise, whereby... The standard signal is sent from the base station simulator and passes through the channel simulator. Then, the noise is added inside the channel simulator before it is output to multiple antennas in the anechoic chamber. The computing device obtains measurement information for calibrating the test environment based on the standard signal and the noise sent from the measuring device. The measurement information includes signal strength, which is the received power of the downlink reference signal, synchronization signal, and physical broadcast channel block signal or pilot reference signal, or the total power of the full bandwidth signal. The test environment is a multiple-input multiple-output (OTA) test environment. The computing device determines whether the measurement information is within a predetermined range of the target value; and When the measurement information is not within the predetermined range of the target value, the computing device sends a control signal to the channel simulator to adjust the noise output from the channel simulator, so that the computing device can obtain the required measurement information based on the standard signal and the adjusted noise; when the measurement information is within the predetermined range of the target value, the computing device does not need to calibrate the measurement environment.

2. The method for calibrating the test environment as described in claim 1, characterized in that, The predetermined range is plus or minus 10 percent of the target value.

3. The method for calibrating the test environment as described in claim 1, characterized in that, The measuring device is a spectrum analyzer, power meter, or user equipment.

4. A system for calibrating a test environment, comprising: Base station simulator; Channel simulator, coupled to the base station simulator; Multiple antennas in the anechoic chamber are coupled to the channel simulator; The measuring device, located in a dark room, measures standard signals and noise, wherein... The standard signal is sent from the base station simulator and passes through the channel simulator. Then, the noise is added inside the channel simulator before it is output to the multiple antennas in the anechoic chamber. A computing device, coupled to the measuring device and the channel simulator, wherein: The computing device obtains measurement information for calibrating the test environment based on the standard signal and noise sent from the measuring device. The measurement information includes signal strength, which is the received power of the downlink reference signal, synchronization signal, and physical broadcast channel block signal or pilot reference signal, or the total power of the full bandwidth signal. The test environment is a multiple-input multiple-output (OTA) test environment. The computing device determines whether the measurement information is within a predetermined range of the target value; and When the measurement information is not within the predetermined range of the target value, the computing device sends a control signal to the channel simulator to adjust the noise output from the channel simulator, so that the computing device obtains the required measurement information based on the standard signal and the adjusted noise; when the measurement information is within the predetermined range of the target value, the computing device does not need to calibrate the measurement environment.

5. The system for calibrating the test environment as described in claim 4, characterized in that, The predetermined range is plus or minus 10 percent of the target value.

6. The system for calibrating the test environment as described in claim 4, characterized in that, The measuring device is a spectrum analyzer, power meter, or user equipment.

7. A method for calibrating a test environment, applied to a computing device, the method comprising: Receives a standard signal and noise measured by a measuring device located in a dark room, wherein, The standard signal is sent from the base station simulator and passes through the channel simulator. Then, the noise is added inside the channel simulator before it is output to multiple antennas in the anechoic chamber. Based on the standard signal and the noise, measurement information for calibrating the test environment is obtained, wherein the measurement information includes signal strength, which is the received power of the downlink reference signal, synchronization signal, and physical broadcast channel block signal or pilot reference signal, or the total power of the full bandwidth signal; the test environment is a multiple-input multiple-output (OTA) test environment; Determine whether the measurement information is within the predetermined range of the target value; and When the measurement information is not within the predetermined range of the target value, a control signal is sent to the channel simulator to adjust the noise output from the channel simulator, so that the computing device obtains the required measurement information based on the standard signal and the adjusted noise; when the measurement information is within the predetermined range of the target value, it is not necessary to calibrate the measurement environment.

8. The method for calibrating the test environment as described in claim 7, characterized in that, The predetermined range is plus or minus 10 percent of the target value.

9. The method for calibrating the test environment as described in claim 7, characterized in that, The measuring device is a spectrum analyzer, power meter, or user equipment.

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