CN110972253B - Time-frequency offset estimation method, device, communication equipment and storage medium - Google Patents
Time-frequency offset estimation method, device, communication equipment and storage medium Download PDFInfo
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Abstract
The disclosure relates to a time-frequency offset estimation method, a time-frequency offset estimation device, communication equipment and a storage medium, which are used for reducing the computation complexity of time-frequency offset estimation and saving computation time. The time-frequency offset estimation method comprises the following steps: respectively carrying out correlation value calculation on a first half signal and a second half signal of a local synchronous signal and a received signal in a time domain to obtain a half correlation value sequence of the first half signal and the received signal and a half correlation value sequence of the second half signal and the received signal; summing the two semi-correlation value sequences to obtain a complete correlation value sequence; determining a time offset estimation value of a received signal according to the position of the peak value in the complete correlation value sequence; determining a first target correlation value and a second target correlation value in the two semi-correlation value sequences according to the time offset estimation value; and calculating the frequency offset estimation value of the received signal according to the first target correlation value and the second target correlation value.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a time-frequency offset estimation method, apparatus, communication device, and storage medium.
Background
In the field of communication technology, time synchronization and frequency synchronization between a communication device and a base station are preconditions for normal operation of the communication device, and to achieve the time synchronization and the frequency synchronization between the communication device and the base station, it is necessary to estimate a current timing deviation and a current frequency deviation of the communication device, and then adjust or compensate reception control of the communication device according to a timing deviation estimation value and a frequency deviation estimation value.
In the related art, the estimation process of the communication device for the timing offset and the frequency offset is usually performed separately and independently, that is, usually, data is received first for timing estimation, and then data is received again for frequency offset estimation, so that the whole process not only has high computational complexity, but also consumes long time.
Disclosure of Invention
The disclosure aims to provide a time-frequency offset estimation method, a time-frequency offset estimation device, communication equipment and a storage medium, so as to reduce the computation complexity in the estimation process of timing offset and frequency offset and save computation time.
In order to achieve the above object, in a first aspect, the present disclosure provides a time-frequency offset estimation method, including:
respectively carrying out correlation value calculation on a first half signal and a second half signal of a local synchronous signal and a received signal in a time domain to obtain a half correlation value sequence of the first half signal and the received signal and a half correlation value sequence of the second half signal and the received signal;
summing the two semi-correlation value sequences to obtain a complete correlation value sequence;
determining a time offset estimation value of a received signal according to the position of the peak value in the complete correlation value sequence;
determining a first target correlation value and a second target correlation value in the two semi-correlation value sequences according to the time offset estimation value;
and calculating the frequency offset estimation value of the received signal according to the first target correlation value and the second target correlation value.
Optionally, the performing correlation value calculation on the first half signal and the second half signal of the local synchronization signal and the received signal in the time domain respectively includes:
when coarse time offset estimation is carried out in advance, determining a time interval for carrying out correlation value calculation near a time offset estimation value determined in the coarse time offset estimation process based on the time and the speed of timing drift and the accuracy of the coarse time offset estimation, and respectively carrying out correlation value calculation on a first half signal and a second half signal of the local synchronous signal and a received signal in the time interval; or
And when the coarse time offset estimation is not carried out in advance, respectively carrying out correlation value calculation on the first half signal and the second half signal of the local synchronous signal and the received signal within one cycle time of the synchronous signal.
Optionally, the determining a time offset estimation value of the received signal according to a position of a peak in the complete correlation value sequence includes:
performing interpolation calculation according to the peak value and the preset number of correlation values near the peak value;
and determining the result of the interpolation calculation as a time offset estimation value of the received signal.
Optionally, the performing correlation value calculation on the first half signal and the second half signal of the local synchronization signal and the received signal in the time domain respectively includes:
in N periods, respectively carrying out correlation value calculation on a first half signal and a second half signal of the local synchronous signal and a received signal on a time domain;
the determining a time offset estimation value of the received signal according to the position of the peak value in the complete correlation value sequence includes:
calculating each time point in the corresponding time interval according to the correlation value, and carrying out merging calculation on the power of the N periods according to a preset weight parameter to obtain a plurality of merging calculation results;
and determining a time point corresponding to the maximum value in the plurality of combined calculation results as a time offset estimation value of the received signal.
Optionally, the calculating, according to the first target correlation value and the second target correlation value, a frequency offset estimation value of the received signal includes:
respectively carrying out conjugate multiplication on the first target correlation value and the second target correlation value in the same period to obtain N measurement values carrying frequency offset information;
and determining a frequency offset estimation value according to the phase of the combined calculation result of the N measurement values.
In a second aspect, the present disclosure further provides a time-frequency offset estimation apparatus, including:
the first calculation module is used for respectively carrying out correlation value calculation on a first half signal and a second half signal of a local synchronous signal and a received signal in a time domain to obtain a half correlation value sequence of the first half signal and the received signal and a half correlation value sequence of the second half signal and the received signal;
the summation module is used for summing the two semi-correlation value sequences to obtain a complete correlation value sequence;
the time offset estimation module is used for determining a time offset estimation value of a received signal according to the position of the peak value in the complete correlation value sequence;
the second calculation module is used for determining a first target correlation value and a second target correlation value in the two semi-correlation value sequences according to the time offset estimation value;
and the frequency offset estimation module is used for calculating a frequency offset estimation value of the received signal according to the first target correlation value and the second target correlation value.
Optionally, the first computing module is configured to:
when coarse time offset estimation is carried out in advance, determining a time interval for carrying out correlation value calculation near a time offset estimation value determined in the coarse time offset estimation process based on the time and the speed of timing drift and the accuracy of the coarse time offset estimation, and respectively carrying out correlation value calculation on a first half signal and a second half signal of the local synchronous signal and a received signal in the time interval; or
And when the coarse time offset estimation is not carried out in advance, respectively carrying out correlation value calculation on the first half signal and the second half signal of the local synchronous signal and the received signal within one cycle time of the synchronous signal.
Optionally, the time offset estimation module is configured to perform interpolation calculation according to the peak value and a preset number of correlation values near the peak value, and determine a result of the interpolation calculation as a time offset estimation value of the received signal.
Optionally, the first calculating module is configured to perform correlation value calculation on a first half signal, a second half signal and a received signal of the local synchronization signal in the time domain in the N periods, respectively;
and the time offset estimation module is used for calculating each time point in the corresponding time interval according to the correlation value, carrying out merging calculation on the power of the N periods according to a preset weight parameter to obtain a plurality of merging calculation results, and determining the time point corresponding to the maximum value in the plurality of merging calculation results as the time offset estimation value of the received signal.
Optionally, the frequency offset estimation module is configured to perform conjugate multiplication on the first target correlation value and the second target correlation value in the same period, respectively, to obtain N metric values carrying frequency offset information, and determine the frequency offset estimation value according to a phase of a combined calculation result of the N metric values
In a third aspect, the present disclosure also provides a communication device, including the time-frequency offset estimation apparatus according to any one of the second aspects.
In a fourth aspect, the present disclosure also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any one of the first aspect.
Through the technical scheme, the complete correlation value sequence can be obtained by summing the half correlation value sequence of the first half signal of the local synchronous signal and the received signal and the half correlation value sequence of the second half signal of the local synchronous signal and the received signal, and the complete correlation value sequence does not need to be calculated through a complex formula, so that the calculation complexity of a time-frequency offset estimation process is reduced. Moreover, by the time-frequency offset estimation method, the frequency offset estimation value can be calculated on the basis of the time offset estimation value, instead of performing time offset estimation first and then receiving data again for frequency offset estimation, so that the time for estimating the frequency offset can be saved, and the receiving performance of the communication equipment can be improved.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow chart illustrating a method of time-frequency offset estimation in accordance with an exemplary embodiment of the present disclosure;
FIG. 2 is another flow chart illustrating a method of time-frequency offset estimation according to an exemplary embodiment of the present disclosure;
fig. 3 is a block diagram illustrating a time-frequency offset estimation apparatus according to an exemplary embodiment of the disclosure;
fig. 4 is a block diagram illustrating a communication device according to an exemplary embodiment of the present disclosure.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flowchart illustrating a time-frequency offset estimation method according to an exemplary embodiment of the present disclosure, and referring to fig. 1, the time-frequency offset estimation method in the embodiment of the present disclosure includes the following steps:
step S101, respectively carrying out correlation value calculation on a first half signal and a second half signal of a local synchronous signal and a received signal in a time domain to obtain a half correlation value sequence of the first half signal and the received signal and a half correlation value sequence of the second half signal and the received signal;
step S102, summing the two semi-correlation value sequences to obtain a complete correlation value sequence;
step S103, determining a time offset estimation value of the received signal according to the position of the peak value in the complete correlation value sequence;
step S104, determining a first target correlation value and a second target correlation value in the two semi-correlation value sequences according to the time offset estimation value;
step S105, calculating a frequency offset estimation value of the received signal according to the first target correlation value and the second target correlation value.
Because the time offset estimation will use the correlation value sequence of the complete synchronization signal and the received signal, assuming that the computation complexity is 10, and the frequency offset estimation will use the correlation value sequence of the first half signal and the second half signal of the synchronization signal and the received signal, respectively, assuming that the computation complexity is 5, then according to the prior art scheme, the time offset estimation is performed first, and then the data is received again for frequency offset estimation, and the computation complexity of the whole process is 20(10+5+ 5).
According to the time-frequency offset estimation method in the embodiment of the disclosure, the correlation value sequences of the first half signal and the second half signal of the synchronization signal and the received signal are calculated first, and then the complete correlation value sequence can be obtained by summing the two correlation value sequences, so that the whole process only needs to calculate the two half correlation value sequences, and does not need to calculate the complete correlation value sequence through a complex formula, the calculation complexity is 10(5+5), the calculation complexity of the time-frequency offset estimation process is greatly reduced, the time-frequency offset estimation value and the frequency offset estimation value can be quickly obtained, and the receiving performance of the communication equipment is improved.
Alternatively, in step S101, when coarse time offset estimation is performed in advance, a time interval for performing correlation value calculation may be determined near a time offset estimation value determined in the coarse time offset estimation process based on the time and speed of timing drift and the accuracy of the coarse time offset estimation, and the first half signal and the second half signal of the local synchronization signal are respectively subjected to correlation value calculation with the received signal in the time interval; or when the rough time offset estimation is not carried out in advance, the first half signal and the second half signal of the local synchronous signal are respectively carried out the correlation value calculation with the received signal within one cycle time of the synchronous signal.
It should be noted that the local synchronization signal is a pre-stored sequence used for correlation value calculation, and has no time and period, and the synchronization signal refers to a physical synchronization signal transmitted according to a certain period in the communication system, and has a time and a period, which are different from each other.
If the coarse timing offset estimation has been completed, i.e. the coarse value of the timing offset estimation is known, then to reduce the computational complexity, correlation value calculations can be performed around the coarse value of the timing offset estimation based on the time and speed of the timing drift, e.g. the range of the timing drift is determined according to the time and speed of the timing drift, then the range of the timing drift is determined as the time interval during which the correlation value calculation is performed, and then the first half signal and the second half signal of the local synchronization signal are respectively correlated with the received signal during the time interval.
For example, the correlation value calculation may be performed according to the following formula:
wherein the content of the first and second substances,
is a half correlation value sequence of the first half signal of the local synchronous signal and the received signal,
is a half correlation value sequence of the second half signal of the local synchronous signal and the received signal,
for receiving signals, zi(i-0, … L-1) is a local synchronization signal, t*For the estimated value of time offset determined in the course of coarse time offset estimation, L is the sequence length of local synchronous signal, T is the period of synchronous signal, n is the period number of synchronous signal, [ -O, O]Time intervals for correlation value calculation.
Accordingly, in step S102, the complete correlation value sequence cn,oComprises the following steps:
however, if the coarse time offset estimation is not performed in advance, correlation value calculation needs to be performed at all time points of the received signal, that is, correlation value calculation needs to be performed on the first half signal and the second half signal of the local synchronization signal and the received signal respectively within one cycle time of the synchronization signal.
For example, the correlation value calculation may be performed according to the following formula:
accordingly, in step S102, the complete correlation value sequence cn,oComprises the following steps:
through the above manner, the half correlation value sequences of the first half signal, the second half signal and the received signal of the local synchronization signal are calculated, so that the calculation complexity in the time-frequency offset estimation process can be reduced, and the corresponding half correlation value sequences can be directly found for frequency offset estimation after the time-frequency offset estimation value is determined, so that the frequency offset estimation value can be obtained more quickly, the frequency offset estimation time is saved, and the receiving performance of the communication equipment is improved.
Alternatively, in step S101, a correlation value of the first half signal and the second half signal of the local synchronization signal and the received signal in the time domain may be calculated in N periods, and accordingly, in step S103, power of the N periods may be combined and calculated according to a preset weight parameter for each time point in a time interval corresponding to the correlation value calculation to obtain a plurality of combined calculation results, and then a time point corresponding to a maximum value in the plurality of combined calculation results may be determined as a time offset estimation value of the received signal.
The preset weight parameter may be user-defined, for example, the user may determine the weight parameter as 1/N, that is, perform average calculation on the powers of N periods, or may also determine a weight parameter according to the signal-to-noise ratio, and the like, which is not limited in this disclosure.
For example, the time interval for performing correlation value calculation is Ω, the preset weight parameter is 1/N, and in N periods, the first half signal and the second half signal of the synchronization signal are respectively correlated with the received signal in the time domain, so that the complete correlation sequence c in N periods can be obtainedn,oThen, the power of N periods is combined and calculated according to the following formula:
according to the calculation of the above formula, a plurality of power values can be obtained, and then the time offset estimation value o of the received signal at the time point corresponding to the maximum value of the plurality of power values can be determined according to the following formula*：
o*＝argmax{|co|2,o∈Ω}
Through the mode, the power of N periods can be combined and calculated according to the preset weight parameters, and a more accurate time offset estimation value is obtained, so that the receiving performance of the communication equipment is improved.
Optionally, in step S105, conjugate multiplication may be performed on the first target correlation value and the second target correlation value in the same period to obtain N metric values carrying frequency offset information, and then the frequency offset estimation value is determined according to a phase corresponding to a combined calculation result of the N metric values.
For example, the time offset estimation value o*Substituting the first half of the synchronization signal into the sequence of half-correlation values of the received signal
And a half correlation value sequence of the second half signal of the synchronous signal and the received signal
In (b), the obtained semi-related sequences are respectively
And
then, the half correlation sequence is calculated according to the following formula
And
and (3) performing conjugate multiplication on two values with the same sequence number in the middle period, namely performing conjugate multiplication on a first target correlation value and a second target correlation value in the same period, and performing combination calculation on N measurement values obtained by the conjugate multiplication:
then, according to the following formula, based on the combined calculation result
Determining a frequency offset estimation value:
wherein, FsRepresenting a sampling rate of the sampled signal; angle (·) denotes the radian phase of the complex number.
It should be understood that if M × N synchronization signal periods are used in the time-frequency offset estimation process, M synchronization signal periods can be obtained by the above calculation
So that the M can be further processed
Are averaged to obtain
Then use
And carrying out frequency offset estimation to obtain a more accurate frequency offset estimation value.
In addition, if timing with higher accuracy than the current sampling rate is required, in step S103, interpolation may be performed according to the peak value and a preset number of correlation values near the peak value, and then the interpolation result may be determined as the time offset estimation value of the received signal.
The preset number may be determined according to a scheme of time offset estimation, for example, if a 1.92M sampling rate is used to receive signals, but the communication system requires a time offset estimation accuracy of 3.84M, then 2-fold interpolation is performed to meet the system requirement, and if a linear interpolation scheme is used to improve the time offset estimation accuracy, then the preset number is 2.
For example, the time offset estimate may be determined by the following equation:
it should be appreciated that if a 1.92M sample rate is used to receive the signal and the communication system requires that the time offset estimate be 1.92M accurate, then the time offset estimate need not be determined by interpolation.
By the above method, the precision of the time offset estimation value can be improved through interpolation calculation, so that a more accurate time offset estimation value is obtained, and the receiving performance of the communication equipment is ensured.
Referring to fig. 2, a time-frequency offset estimation method provided by the present disclosure is described below in a complete embodiment, and the time-frequency offset estimation method includes the following steps:
step S201, determining whether coarse time offset estimation is carried out in advance, if no coarse time offset estimation is carried out in advance, entering step S202, otherwise, entering step S203;
step S202, in each cycle of N cycles of the synchronizing signal, respectively, calculating the correlation value of the first half signal and the second half signal of the local synchronizing signal with the received signal;
step S203, determining a time interval for calculating a correlation value near a time offset estimation value determined in the coarse time offset estimation process based on the time and the speed of timing drift and the accuracy of coarse time offset estimation;
step S204, in the corresponding time interval of each period in N periods of the synchronous signal, the first half signal and the second half signal of the local synchronous signal are respectively subjected to correlation value calculation with the received signal;
step S205, the first half signal and the second half signal of the local synchronous signal are respectively summed with a half correlation value sequence obtained by correlation value calculation of the received signal to obtain a complete correlation value sequence;
step S206, aiming at each time point in the time interval corresponding to the correlation value calculation, carrying out merging calculation on the power of N periods according to preset weight parameters to obtain a plurality of merging calculation results;
step S207, determining the positions of the peak values in the multiple combined calculation results;
step S208, performing interpolation calculation according to the peak value and the preset number of correlation values near the peak value;
step S209, determining the result of interpolation calculation as the time offset estimation value of the received signal;
step S210, determining a first target correlation value and a second target correlation value in the calculated semi-correlation value sequence according to the time offset estimation value;
step S211, conjugate multiplication is carried out on the first target correlation value and the second target correlation value in the same period respectively to obtain N measurement values carrying frequency offset information;
step S212, determining the frequency offset estimation value according to the phase of the combined calculation result of the N measurement values.
It should be understood that the specific calculation process corresponding to each step is the same as that described above, and is not described herein again.
By the time frequency offset estimation method in the embodiment of the disclosure, the calculation complexity of the time frequency offset estimation process can be reduced, and the time frequency offset estimation time is saved, so that the faster timing drift can be accurately tracked in time, and the receiving performance of the communication equipment is improved.
Based on the same inventive concept, the embodiment of the present disclosure further provides a time-frequency offset estimation apparatus 300, and referring to fig. 3, the time-frequency offset estimation apparatus 300 in the embodiment of the present disclosure includes:
a first calculating module 301, configured to perform correlation value calculation on a first half signal and a second half signal of a local synchronization signal and a received signal in a time domain, respectively, to obtain a half correlation value sequence of the first half signal and the received signal, and a half correlation value sequence of the second half signal and the received signal;
a summing module 302, configured to sum the two semi-correlation value sequences to obtain a complete correlation value sequence;
a time offset estimation module 303, configured to determine a time offset estimation value of the received signal according to a position of a peak in the complete correlation value sequence;
a second calculating module 304, configured to determine a first target correlation value and a second target correlation value in the two semi-correlation value sequences according to the time offset estimation value;
a frequency offset estimation module 305, configured to calculate a frequency offset estimation value of the received signal according to the first target correlation value and the second target correlation value.
Through the time frequency offset estimation device, the complete correlation value sequence can be obtained by summing the half correlation value sequence of the first half signal of the local synchronous signal and the received signal and the half correlation value sequence of the second half signal of the local synchronous signal and the received signal, and the complete correlation value sequence does not need to be calculated through a complex formula, so that the calculation complexity of the time frequency offset estimation process is reduced. Moreover, the time-frequency offset estimation device can calculate the frequency offset estimation value on the basis of the time offset estimation value, instead of performing time offset estimation first and then receiving data again for frequency offset estimation, so that the time-frequency offset estimation time can be saved, faster timing drift can be tracked accurately and timely, and the receiving performance of the communication equipment is improved.
Optionally, the first calculating module 301 is configured to, when coarse time offset estimation is performed in advance, determine a time interval for performing correlation value calculation near a time offset estimation value determined in the coarse time offset estimation process based on time and speed of timing drift and accuracy of the coarse time offset estimation, and perform correlation value calculation on a first half signal and a second half signal of the local synchronization signal and a received signal respectively in the time interval; or when the coarse time offset estimation is not carried out in advance, the correlation value calculation is carried out on the first half signal and the second half signal of the local synchronous signal and the received signal respectively within one cycle time of the synchronous signal.
Optionally, the time offset estimation module 303 is configured to perform interpolation calculation according to the peak value and a preset number of correlation values near the peak value, and determine a result of the interpolation calculation as a time offset estimation value of the received signal.
Optionally, the first calculating module 301 is configured to perform correlation value calculation on the first half signal and the second half signal of the local synchronization signal and the received signal in the time domain in the N periods, respectively;
the time offset estimation module 303 is configured to calculate, for each time point in the time interval corresponding to the correlation value, the power of the N periods according to a preset weight parameter, perform a combining calculation to obtain a plurality of combining calculation results, and determine a time point corresponding to a maximum value in the plurality of combining calculation results as a time offset estimation value of the received signal.
Optionally, the frequency offset estimation module 305 is configured to perform conjugate multiplication on the first target correlation value and the second target correlation value in the same period, respectively, to obtain N metric values carrying frequency offset information, and determine a frequency offset estimation value according to a phase corresponding to a combined calculation result of the N metric values.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Based on the same inventive concept, the present disclosure also provides a communication device, which includes any one of the above time frequency offset estimation apparatuses.
By the communication equipment, the calculation complexity of the time frequency offset estimation process of the communication equipment can be reduced, and the time frequency offset estimation time is saved, so that the faster timing drift can be accurately tracked in time, and the receiving performance of the communication equipment is improved.
Fig. 4 is a block diagram illustrating a communication device 400 according to an exemplary embodiment of the present disclosure. For example, the communication device 400 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, or the like having a communication function.
Referring to fig. 4, a communication device 400 may include one or more of the following components: a processing component 402, a memory 404, a power component 406, a multimedia component 408, an audio component 44, an interface for input/output (I/O) 412, a sensor component 414, and a communication component 416.
The processing component 402 generally controls the overall operation of the communication device 400 and may include one or more processors 420 executing instructions to perform all or part of the steps of the time-frequency offset estimation method, for example, the processing component 402 may be configured to perform correlation calculation on a first half signal and a second half signal of a local synchronization signal and a received signal in a time domain respectively to obtain a half correlation value sequence of the first half signal and the received signal and a half correlation value sequence of the second half signal and the received signal, then sum the two half correlation value sequences to obtain a complete correlation value sequence, determine a time-offset estimation value of the received signal according to a position of a peak in the complete correlation value sequence, then determine a first target correlation value and a second target correlation value in the two half correlation value sequences according to the time-offset estimation value, and finally, calculating the frequency offset estimation value of the received signal according to the first target correlation value and the second target correlation value.
Further, the processing component 402 can include one or more modules that facilitate interaction between the processing component 402 and other components. For example, the processing component 402 can include a multimedia module to facilitate interaction between the multimedia component 408 and the processing component 402.
The memory 404 is configured to store various types of data to support the operation of the communication device 400, for example, the memory 404 may be used to store a local synchronization signal or a computer program for executing the time-frequency offset estimation method, so that the processing component 402 may execute all or part of the steps of the time-frequency offset estimation method after reading the computer program stored in the memory 404, or the memory 404 may also be used to store the calculation result of the time-frequency offset estimation method, and so on.
The memory 404 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 408 includes a screen that provides an output interface between the device 400 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP), and may be used to display the time offset estimation value and the frequency offset estimation value obtained in the time-frequency offset estimation method described above, and the like. If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 408 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the apparatus 400 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 44 is configured to output and/or input audio signals. For example, audio component 44 may include a Microphone (MIC) configured to receive external audio signals when apparatus 400 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 404 or transmitted via the communication component 416. In some embodiments, the audio component 44 further includes a speaker for outputting audio signals, such as the time offset estimation value and the frequency offset estimation value obtained in the time-frequency offset estimation process, and so on.
The I/O interface 412 provides an interface between the processing component 402 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 414 includes one or more sensors for providing various aspects of status assessment for the apparatus 400. For example, the sensor assembly 414 may detect an open/closed state of the apparatus 400, the relative positioning of the components, such as a display and keypad of the apparatus 400, the sensor assembly 414 may also detect a change in the position of the apparatus 400 or a component of the apparatus 400, the presence or absence of user contact with the apparatus 400, orientation or acceleration/deceleration of the apparatus 400, and a change in the temperature of the apparatus 400. The sensor assembly 414 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 414 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 414 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 416 is configured to facilitate wired or wireless communication between the apparatus 400 and other devices. The apparatus 400 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 416 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 416 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the communication device 400 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing all or part of the steps of the time-frequency offset estimation method described above.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 404 comprising instructions, executable by the processor 420 of the apparatus 400 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (12)
1. A time-frequency offset estimation method is characterized by comprising the following steps:
respectively carrying out correlation value calculation on a first half signal and a second half signal of a local synchronous signal and a received signal in a time domain to obtain a half correlation value sequence of the first half signal and the received signal and a half correlation value sequence of the second half signal and the received signal;
summing the two semi-correlation value sequences to obtain a complete correlation value sequence;
determining a time offset estimation value of a received signal according to the position of the peak value in the complete correlation value sequence;
substituting the time offset estimation value into the two semi-correlation value sequences to obtain a first target correlation value and a second target correlation value;
and performing conjugate multiplication on the first target correlation value and the second target correlation value to obtain a frequency offset estimation value of the received signal.
2. The method of claim 1, wherein the performing correlation calculation on the first half signal and the second half signal of the local synchronization signal and the received signal in the time domain respectively comprises:
when coarse time offset estimation is carried out in advance, determining a time interval for carrying out correlation value calculation near a time offset estimation value determined in the coarse time offset estimation process based on the time and the speed of timing drift and the accuracy of the coarse time offset estimation, and respectively carrying out correlation value calculation on a first half signal and a second half signal of a local synchronous signal and a received signal in the time interval; or
And when the coarse time offset estimation is not carried out in advance, respectively carrying out correlation value calculation on the first half signal and the second half signal of the local synchronous signal and the received signal within one cycle time of the synchronous signal.
3. The method according to claim 1 or 2, wherein determining the time offset estimate of the received signal according to the position of the peak in the complete correlation value sequence comprises:
performing interpolation calculation according to the peak value and the preset number of correlation values near the peak value;
and determining the result of the interpolation calculation as a time offset estimation value of the received signal.
4. The method according to claim 1 or 2, wherein the calculating the correlation value of the first half signal and the second half signal of the local synchronization signal with the received signal in the time domain comprises:
in N periods, respectively carrying out correlation value calculation on a first half signal and a second half signal of the local synchronous signal and a received signal on a time domain;
the determining a time offset estimation value of the received signal according to the position of the peak value in the complete correlation value sequence includes:
calculating each time point in the corresponding time interval according to the correlation value, and carrying out merging calculation on the power of the N periods according to a preset weight parameter to obtain a plurality of merging calculation results;
and determining a time point corresponding to the maximum value in the plurality of combined calculation results as a time offset estimation value of the received signal.
5. The method of claim 4, wherein conjugate multiplying the first target correlation value and the second target correlation value to obtain an estimated frequency offset value of the received signal comprises:
respectively carrying out conjugate multiplication on the first target correlation value and the second target correlation value in the same period to obtain N measurement values carrying frequency offset information;
and determining a frequency offset estimation value according to the phase of the combined calculation result of the N measurement values.
6. A time-frequency offset estimation apparatus, comprising:
the first calculation module is used for respectively carrying out correlation value calculation on a first half signal and a second half signal of a local synchronous signal and a received signal in a time domain to obtain a half correlation value sequence of the first half signal and the received signal and a half correlation value sequence of the second half signal and the received signal;
the summation module is used for summing the two semi-correlation value sequences to obtain a complete correlation value sequence;
the time offset estimation module is used for determining a time offset estimation value of a received signal according to the position of the peak value in the complete correlation value sequence;
the second calculation module is used for substituting the time offset estimation value into the two semi-correlation value sequences to obtain a first target correlation value and a second target correlation value;
and the frequency offset estimation module is used for carrying out conjugate multiplication on the first target correlation value and the second target correlation value to obtain a frequency offset estimation value of the received signal.
7. The apparatus of claim 6, wherein the first computing module is configured to:
when coarse time offset estimation is carried out in advance, determining a time interval for carrying out correlation value calculation near a time offset estimation value determined in the coarse time offset estimation process based on the time and the speed of timing drift and the accuracy of the coarse time offset estimation, and respectively carrying out correlation value calculation on a first half signal and a second half signal of the local synchronous signal and a received signal in the time interval; or
And when the coarse time offset estimation is not carried out in advance, respectively carrying out correlation value calculation on the first half signal and the second half signal of the local synchronous signal and the received signal within one cycle time of the synchronous signal.
8. The apparatus according to claim 6 or 7, wherein the time offset estimation module is configured to perform interpolation calculation according to the peak value and a preset number of correlation values near the peak value, and determine a result of the interpolation calculation as the time offset estimation value of the received signal.
9. The apparatus according to claim 6 or 7, wherein the first calculating module is configured to perform correlation value calculation on a first half signal and a second half signal of the local synchronization signal and a received signal in a time domain in N cycles, respectively;
and the time offset estimation module is used for calculating each time point in the corresponding time interval according to the correlation value, carrying out merging calculation on the power of the N periods according to a preset weight parameter to obtain a plurality of merging calculation results, and determining the time point corresponding to the maximum value in the plurality of merging calculation results as the time offset estimation value of the received signal.
10. The apparatus of claim 9, wherein the frequency offset estimation module is configured to perform conjugate multiplication on the first target correlation value and the second target correlation value in the same period, respectively, to obtain N metric values carrying frequency offset information, and determine the frequency offset estimation value according to a phase of a combined calculation result of the N metric values.
11. A communication device, characterized in that it comprises a time-frequency offset estimation apparatus according to any of claims 6-10.
12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
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