CN109660482B - IQ compensation parameter acquisition method and device, computer equipment and storage medium - Google Patents
IQ compensation parameter acquisition method and device, computer equipment and storage medium Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
- H04L27/34—Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
- H04L27/38—Demodulator circuits; Receiver circuits
- H04L27/3845—Demodulator circuits; Receiver circuits using non - coherent demodulation, i.e. not using a phase synchronous carrier
- H04L27/3854—Demodulator circuits; Receiver circuits using non - coherent demodulation, i.e. not using a phase synchronous carrier using a non - coherent carrier, including systems with baseband correction for phase or frequency offset
- H04L27/3863—Compensation for quadrature error in the received signal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
- H04L27/34—Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
- H04L27/38—Demodulator circuits; Receiver circuits
- H04L27/3845—Demodulator circuits; Receiver circuits using non - coherent demodulation, i.e. not using a phase synchronous carrier
- H04L27/3854—Demodulator circuits; Receiver circuits using non - coherent demodulation, i.e. not using a phase synchronous carrier using a non - coherent carrier, including systems with baseband correction for phase or frequency offset
- H04L27/3872—Compensation for phase rotation in the demodulated signal
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Abstract
The application relates to an IQ compensation parameter acquisition method, an IQ compensation parameter acquisition device, a computer device and a storage medium, wherein the IQ compensation parameter acquisition method comprises the steps of receiving a constant envelope signal; acquiring an I path signal, a Q path signal and a sampling point index in a constant envelope signal; acquiring an initial IQ compensation parameter according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameter corresponds to the sampling point index; according to the sampling point index, the initial IQ compensation parameter is trained through the least mean square algorithm to obtain the final IQ compensation parameter, in the whole process, the initial IQ compensation parameter is quickly and conveniently searched through the sampling point index, the initial IQ compensation parameter is trained through the least mean square algorithm to obtain the final IQ compensation parameter, the operation amount is small, the operation time is shortened, and simple and convenient IQ compensation parameter obtaining is achieved.
Description
Technical Field
The present application relates to the field of digital communications technologies, and in particular, to an IQ compensation parameter obtaining method, an IQ compensation parameter obtaining device, a computer device, and a storage medium.
Background
With the development of digital communication technology, the signal transmission quality is also continuously improved, in the traditional data communication process, an intermediate frequency circuit basically has two paths of IQ signals, the ideal I signal and Q signal have the same amplitude and 90 ° phase difference, however, IQ mismatch is caused by internal device loss, mutual interference of the two signals and other reasons in the transmission process of the two paths of IQ signals.
In the prior art, IQ compensation parameters are calculated to calibrate IQ data, but the calculation mode for calculating the IQ compensation parameters is too complex, the calculation degree is high, the consumed time is long, and the IQ compensation parameters cannot be obtained conveniently.
Disclosure of Invention
Accordingly, it is desirable to provide a simple and convenient IQ compensation parameter obtaining method, apparatus, computer device and storage medium for solving the problem that IQ compensation parameters cannot be obtained conveniently.
An IQ compensation parameter acquisition method, comprising:
receiving a constant envelope signal;
acquiring an I path signal, a Q path signal and a sampling point index in a constant envelope signal;
acquiring an initial IQ compensation parameter according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameter corresponds to the sampling point index;
and training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index to obtain final IQ compensation parameters.
In one embodiment, the obtaining the I-path signal, the Q-path signal and the sample index in the constant envelope signal includes:
sampling the constant envelope signal within a preset time interval to obtain an I path signal, a Q path signal and a sampling point index, wherein the preset time interval is related to the time for training the initial IQ compensation parameter.
In one embodiment, the obtaining the initial IQ compensation parameter according to the I-path signal, the Q-path signal, and the sample index includes: and acquiring initial IQ compensation parameters corresponding to the sampling point indexes through an IQ compensation parameter calculation formula according to the I path signals, the Q path signals and the sampling point indexes.
In one embodiment, the IQ compensation parameter calculation formula is specifically:
where k denotes a sample index, x0Representing the I-way signal, y0Representing the Q-path signal, and a, b and c represent the initial IQ compensation parameters, respectively.
In one embodiment, the training of the initial IQ compensation parameter by the least mean square algorithm according to the sampling point index, and the obtaining of the final IQ compensation parameter includes: and searching the sample point index, acquiring an initial IQ compensation parameter corresponding to the sample point index, and training the initial IQ compensation parameter through a least mean square algorithm to acquire a final IQ compensation parameter.
In one embodiment, the least mean square algorithm is specifically:
in the formula, μ represents a step value,
indicating an error value (·)HRepresents the matrix transpose conjugate operation, and a (k), b (k), and c (k) represent the initial IQ compensation parameters corresponding to the sample index, respectively.
In one embodiment, the training of the initial IQ compensation parameter by least mean square according to the sampling point index, and after obtaining the final IQ compensation parameter, further comprises: and carrying out IQ calibration on the I path signal and the Q path signal according to the final IQ compensation parameter.
An IQ compensation parameter acquisition apparatus, comprising:
a signal receiving module: for receiving a constant envelope signal;
a signal acquisition module: the constant envelope signal acquisition module is used for acquiring an I path signal, a Q path signal and a sampling point index in the constant envelope signal;
an initial IQ compensation parameter acquisition module: the IQ compensation module is used for acquiring initial IQ compensation parameters according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameters correspond to the sampling point index;
a final IQ compensation parameter acquisition module: and the IQ compensation module is used for training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index to obtain final IQ compensation parameters.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program: receiving a constant envelope signal; acquiring an I path signal, a Q path signal and a sampling point index in a constant envelope signal; acquiring initial IQ compensation parameters according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameters correspond to the sampling point index; and training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index to obtain final IQ compensation parameters.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of: receiving a constant envelope signal; acquiring an I path signal, a Q path signal and a sampling point index in a constant envelope signal; acquiring initial IQ compensation parameters according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameters correspond to the sampling point index; and training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index to obtain final IQ compensation parameters.
The IQ compensation parameter acquisition method, the IQ compensation parameter acquisition device, the computer equipment and the storage medium receive the constant envelope signal; acquiring an I path signal, a Q path signal and a sampling point index in a constant envelope signal; acquiring an initial IQ compensation parameter according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameter corresponds to the sampling point index; according to the sampling point index, the initial IQ compensation parameter is trained through the least mean square algorithm to obtain the final IQ compensation parameter, in the whole process, the initial IQ compensation parameter is quickly and conveniently searched through the sampling point index, the initial IQ compensation parameter is trained through the least mean square algorithm to obtain the final IQ compensation parameter, the operation amount is small, the operation time is shortened, and simple and convenient IQ compensation parameter obtaining is achieved.
Drawings
FIG. 1 is a schematic flow chart illustrating an embodiment of the IQ compensation parameter obtaining method;
FIG. 2 is a schematic flow chart illustrating another embodiment of the IQ compensation parameter obtaining method;
FIG. 3 is a schematic structural diagram of an embodiment of the IQ compensation parameter obtaining apparatus;
fig. 4 is a schematic structural diagram of an embodiment of the IQ compensation parameter acquisition computer device.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, an IQ compensation parameter obtaining method is provided, which includes the following steps:
s100: a constant envelope signal is received.
Furthermore, after the pulse signal with constant amplitude oscillation is modulated, the amplitude of each oscillation changes, the highest point and the lowest point of each oscillation signal are respectively connected by a dotted line, the shape of the dotted line is the envelope of the pulse signal, and the constant envelope signal refers to a signal of which the peak amplitude is kept unchanged, that is, the period size is changed but the valley amplitude is not changed when the envelope is in continuous periods. Specifically, a modulated constant envelope signal is transmitted after a signal is modulated by a receiving signal transmitter, wherein the modulation refers to a process or a processing method for changing some characteristics of a waveform according to another waveform or signal. In this embodiment, the constant envelope signal is an IQ modulated constant envelope signal, the IQ modulation, i.e., data, is divided into two paths, and the two paths of carriers are respectively modulated by carriers, and the two paths of carriers are orthogonal to each other.
S110: and acquiring the I path signal, the Q path signal and the sampling point index in the constant envelope signal.
Wherein, I (In-phase) represents the same phase, Q (Quadrature) represents Quadrature, and the phase difference from I is 90 degrees, IQ signals are a set of I or Q signals of 0 ° or 180 °, and the other is a set of I or Q signals of 90 ° or 270 °. After receiving the constant envelope signal, analog-to-digital change and sampling are realized in the intermediate frequency part in the demodulation process, and I, Q components of the baseband signal can be obtained by the same-frequency multiplication of the sampled signal and a digital domain. In a relational database, an index is a single and physical storage structure for sorting fingers in one or more columns in a database table, and is a collection of values in one or more columns in a certain table and a corresponding logical pointer list of data pages for physically marking the values in the table, and a sampling point index is used as a directory of a graph, so that required contents can be quickly found according to page numbers in the directory. In this embodiment, the sample index corresponds to a tag page of the I-path signal and the Q-path signal, and the initial IQ compensation parameter uniquely corresponding to the index tag page of the I-path signal and the Q-path signal is obtained by calculating the I-path signal and the Q-path signal, and the sample index is searched to obtain the initial IQ compensation parameter uniquely corresponding to the searched sample index from a plurality of data. Specifically, the constant envelope signal is sampled to obtain an I-path signal and a Q-path signal in the constant envelope signal, each group of the I-path signal and the Q-path signal corresponds to a sampling point index, and the sampling point index in the IQ signal is obtained by obtaining the IQ signal.
S120: and acquiring an initial IQ compensation parameter according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameter corresponds to the sampling point index.
In the ideal case, there are equal-amplitude gains and 90 ° phase deviations between the in-phase and quadrature branches, i.e. the I and Q signals, but in the actual case, it is difficult to achieve the ideal case in the in-phase and quadrature branches of the transmitter and the receiver, and in the actual case, the amplitudes and phases are not matched, which generates IQ imbalance, and the errors of the amplitude gain and phase 90 ° deviation values are reflected by IQ compensation parameters. Further, according to the I-path signal, the Q-path signal and the sample index obtained in the step S110, an initial IQ compensation parameter is obtained through an algorithm calculation, specifically, in this embodiment, the initial IQ compensation parameter may be an IQ compensation parameter directly obtained through calculation without performing other error calibration operations, the IQ compensation parameter has inaccuracy and is therefore referred to as an initial IQ compensation parameter, each set of the I-path signal and the Q-path signal corresponds to one sample index, and the initial IQ compensation parameter obtained through calculation of the I-path signal and the Q-path signal also corresponds to the sample index.
S130: and training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index to obtain final IQ compensation parameters.
The Least mean square algorithm (LMS algorithm) is an improved algorithm of a steepest descent algorithm, is an extension after a fast descent method is applied on the wiener filtering theory, is firstly proposed by Widrow and Hoff, does not need to know the statistical characteristics of an input signal and an expected signal, and is obtained by adding a proportional term of a negative mean square error gradient to a weight coefficient of 'last moment'. Further, according to the relationship between the parameters and the collected data, namely the I-path signal and the Q-path signal, the least mean square algorithm is applied, the initial IQ compensation parameters are trained through error approximation by utilizing the one-to-one correspondence relationship between the sampling point indexes and the initial IQ compensation parameters, when the algorithm condition equality is not established, the training approximation is continuously carried out on the initial IQ compensation parameters until the algorithm condition equality is established, and the final IQ compensation parameters which are accurate IQ compensation parameters are obtained.
The IQ compensation parameter acquisition method receives the constant envelope signal; acquiring an I path signal, a Q path signal and a sampling point index in a constant envelope signal; acquiring an initial IQ compensation parameter according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameter corresponds to the sampling point index; according to the sampling point index, the initial IQ compensation parameter is trained through the least mean square algorithm to obtain the final IQ compensation parameter, in the whole process, the initial IQ compensation parameter is quickly and conveniently searched through the sampling point index, the initial IQ compensation parameter is trained through the least mean square algorithm to obtain the final IQ compensation parameter, the operation amount is small, the operation time is shortened, and simple and convenient IQ compensation parameter obtaining is achieved.
In one embodiment, the obtaining the I-path signal, the Q-path signal and the sample index in the constant envelope signal includes: sampling the constant envelope signal within a preset time interval to obtain an I path signal, a Q path signal and a sampling point index, wherein the preset time interval is related to the time for training the initial IQ compensation parameter. Wherein, training the initial IQ compensation parameters according to the least mean square algorithm in S130, obtaining the next set of initial IQ compensation parameters for training when the equation is not satisfied in the training of one set of initial IQ compensation parameters, and presetting the sampling time interval through the training time.
Further, in this embodiment, the preset sampling time interval is less than or equal to the training time, when training is performed once, the equation is not satisfied, the preset sampling time interval is set according to the training time, and before the training is completed or completed once, the equation condition is not satisfied, and the constant envelope signal is sampled to obtain the I-path signal, the Q-path signal and the sampling point index required by the next training. In an ideal case, when there is no IQ mismatch, the IQ mismatch can be expressed by the I and Q signals and the sample index as:
where a is a constant, x (k) is represented as the I-path signal under ideal conditions, y (k) is represented as the Q-path signal under ideal conditions, and the sample index k.
Specifically, since the ideal effect achieved in the ideal case is impossible to be achieved by actual experiments or operations, and it can only be verified by theory or similar experiments, the I-path signal and the Q-path signal acquired in the ideal case and the case of no IQ mismatch do not exist, and in the normal case, the acquired I-path signal and Q-path signal are both signals under the noise condition, and theoretical derivation is known in the ideal case: in a noise environment, sampling a constant envelope signal at preset time intervals to obtain an I path signal, a Q path signal and a sampling point index, wherein the available x of the I path signal in the noise environment0(k) Is represented by the formula (I) in which x0(k)＝x(k)+nI(k) In the formula nI(k) The index k corresponds to the normal distribution value of 0 and the variance of
The noise value of (2); available y of Q path signal under noise environment0(k) Is represented by, wherein y0(k)＝y(k)+nQ(k) In the formula, nQ(k) The normal distribution value of the Q-path signal corresponding to the index k is 0, and the variance is
The noise value of (1) is not necessary, and unless otherwise specified, the I-path signal and the Q-path signal mentioned in the description are both the I-path signal and the Q-path signal in a noise environment. Sampling is carried out through a preset sampling time interval related to the time for setting the initial IQ compensation parameter training, so that the parameter training is carried out while sampling is carried out, a large amount of data do not need to be collected on a large scale, and the method is simpler and more convenient.
In one embodiment, the obtaining the initial IQ compensation parameter according to the I-path signal, the Q-path signal, and the sample index includes: and acquiring initial IQ compensation parameters corresponding to the sampling point indexes through an IQ compensation parameter calculation formula according to the I path signals, the Q path signals and the sampling point indexes. According to Q-path signals and I-path signals acquired by sampling according to a preset time interval, each group of I-path signals and Q-path signals corresponds to an index, and initial IQ compensation parameters corresponding to each group of I-path signals and Q-path signal indexes are obtained through an IQ compensation calculation formula. By using the sample point index, initial IQ compensation parameters corresponding to the sample point index one to one can be obtained through an IQ compensation parameter calculation formula, and the initial IQ compensation parameters are prevented from being stored in a disordered way while the calculation is simple and convenient.
Further, in one embodiment, the IQ compensation parameter calculation formula is specifically:
where k denotes a sample index, x0(k) Indicating the I-way signal, y, corresponding to index k0(k) The Q paths of signals corresponding to the index k are shown, and a (k), b (k) and c (k) respectively show the initial IQ compensation parameters corresponding to the index k. Specifically, the relationship between the I-path signal and the Q-path signal in the noise environment and the IQ compensation parameter can be obtained by theoretical derivation of an IQ formula under an ideal condition:
through matrix conversion, an IQ compensation parameter calculation formula can be obtained. The operation is simple, and the complexity is reduced.
In one embodiment, the training of the initial IQ compensation parameter by the least mean square algorithm according to the sampling point index, and the obtaining of the final IQ compensation parameter includes: and searching the sample point index, acquiring an initial IQ compensation parameter corresponding to the sample point index, and training the initial IQ compensation parameter through a least mean square algorithm to acquire a final IQ compensation parameter. The initial IQ compensation parameters are obtained through calculation according to the collected I-path signals and Q-path signals, the sampling point indexes correspond to the I-path signals and the Q-path signals and also correspond to the initial IQ compensation parameters, the IQ initial compensation parameters are trained according to the approximation of the error value between expected input data and actual input data to obtain accurate final IQ compensation parameters, the training time can be set through a stepping value during the training of the least mean square algorithm, and the sampling preset time interval can be configured according to the training time. In the embodiment, the training of the IQ parameters is realized by combining the sampling point index with the least mean square algorithm, the search time of the operational data is reduced, and the accurate final IQ compensation parameters are accurately and quickly acquired.
Further, in one embodiment, the least mean square algorithm specifically includes:
in the formula, μ represents a step value,
indicating an error value (·)HRepresents the matrix transpose conjugate operation, and a (k), b (k), and c (k) represent the initial IQ compensation parameters corresponding to the sample index k, respectively. Specifically, the step value μ is a constant of the convergence rate and the stability, in this embodiment, the parameter training time and speed may be adjusted by adjusting the step value μ, e (k) represents an error between an actual input of the initial IQ compensation parameter, which is an input sample when the sample index is k, and a corresponding expected output, and the accuracy of the initial IQ compensation parameter corresponding to the next index is determined by performing error approximation training on the initial IQ compensation parameter corresponding to the previous index, so as to train the initial IQ compensation parameter, and obtain a precise final IQ compensation parameter. In practical applications, the index k may be 0, 1, 2, 3.. N, and when the index k is 0, it can be obtained:
searching an initial IQ compensation parameter with an index of 0 and corresponding to the index of 0+1, and an I-path signal and a Q-path signal with an index of 0 and corresponding to the index of 0+1, and iterating the indexes when the equation is not satisfied:
by searching for the initial IQ compensation parameter corresponding to the index of 1 and the index of 1+1 and the I-path signal and the Q-path signal corresponding to the index of 1 and the index of 1+1, if the equation is not satisfied, continuously iterating K to realize training of the initial IQ compensation parameter:
until the equation is established. When the equation is satisfied, a (n +1), 2b (n +1), and c (n +1) are output as the final IQ compensation parameters for training to be accurate. And complex operations such as cubic and quadratic are not needed, and accurate final IQ compensation parameters can be simply, conveniently and rapidly acquired.
In one embodiment, as shown in fig. 2, training the initial IQ compensation parameter by least mean square according to the sample index, and after obtaining the final IQ compensation parameter, the method further includes:
and S140, performing IQ calibration on the I path signal and the Q path signal according to the final IQ compensation parameter.
The method comprises the steps of searching IQ signals and IQ compensation parameters corresponding to sample point indexes, training initial IQ compensation parameters through a least mean square algorithm, obtaining accurate final IQ compensation parameters, and carrying out calibration compensation on the distortion of the IQ signals according to the final IQ compensation parameters. Further, the IQ compensation parameter may be a phase distortion value of the I-path signal, an amplitude distortion value of the Q-path signal, and a phase distortion value of the Q-path signal, and the IQ signal is subjected to distortion compensation according to the distortion values, specifically, in this embodiment, a dc offset calibration may be performed to obtain a dc estimation value, and the IQ signal is calibrated and compensated by using the dc estimation value and the final IQ compensation parameter and using a calibration formula:
in the formula, xcAnd ycCan represent calibration IQ data, m can be a preset normalization parameter, x0And y0Can respectively represent I path signal and Q path signal, xdAnd ydIt can be expressed as a dc estimation value, and a, b, and c respectively represent final IQ compensation parameters. Optionally, the calibration formula is not the only formula for implementing the calibration by the final IQ compensation parameter, but is only an implementation manner of the embodiment, and the skilled person can select the optimal method to perform the calibration of the IQ signal by the final IQ compensation parameter according to the requirement. In the embodiment, the IQ signal is calibrated through the final IQ compensation parameter which is simply and rapidly obtained, so that the time required by the whole calibration process is reduced, and the IQ signal is rapidly and simply calibrated.
In one embodiment, in practical application, in a wireless communication system, a zero-if radio frequency transceiving scheme is increasingly applied, a transmitting end device is often provided with an IQ modulator to modulate signals of an I path and a Q path and then output the modulated signals to a transmitting end radio frequency circuit, in this embodiment, a receiving end receives a constant envelope signal subjected to IQ modulation, and samples the constant envelope signal according to a preset time interval, where the preset time interval may be set according to training time of an initial IQ compensation parameter, that is, when the initial IQ compensation parameter training time is 1 microsecond, a sampling interval time may be set to O.9 microseconds, before the training is completed once, the constant envelope signal is sampled to obtain an I path signal x corresponding to a sample point index k0(k) And Q-path signal y0(k) And preparing for next training, and calculating a formula through initial IQ compensation:
acquiring initial IQ compensation parameters a (k), b (k) and c (k) corresponding to a sample point index k, wherein each index is uniquely corresponding to the initial IQ compensation parameter, quickly acquiring the initial IQ compensation parameter corresponding to the sample point index by searching the sample point index, and utilizing a least mean square algorithm:
the training time and speed are set by the step value mu, and the training progress is adjusted, wherein,
representing the error relation between the expected output value and the actual input, training initial IQ compensation parameters by using error approximation, setting the training time to be 1 microsecond through a step value, setting a preset sampling time interval to be 0.9 microsecond according to the training time, searching initial IQ compensation parameters corresponding to an index of 0 and an index of 1 when the index is 0, training the initial IQ compensation parameters with the index of 0, performing index iteration when a least mean square algorithm equation is not established, sampling initial IQ compensation parameters required by the next training while training the initial IQ compensation parameters, sampling an IQ constant envelope signal to obtain IQ signals corresponding to an index of 2, calculating the initial IQ compensation parameters corresponding to the index of 2, training the initial IQ compensation parameters with the index of 2 by using the least mean square algorithm through searching the index 2, when the algorithm equation is not established, continuously iterating the index, training initial IQ compensation parameters corresponding to the index until the algorithm equation is established when the index is n after iteration, outputting a (n +1), b (n +1) and c (n +1) as accurate final IQ compensation parameters, obtaining the accurate final IQ compensation parameters, and then obtaining the direct current offset x through direct current offset calibrationdAnd ydBy IQ calibration formula:
for the I path signal x0And Q-path signal y0And calibrating, wherein m is a preset normalization parameter. In the whole calibration process, the initial IQ compensation parameters are searched by using the sampling point indexes, and the initial IQ compensation parameters are trained through a least mean square algorithm to obtain accurate final IQ compensation parameters, so that the algorithm is simple and the operation time is short.
In one embodiment, as shown in fig. 3, an IQ compensation parameter obtaining apparatus is provided, which includes the following modules:
the signal receiving module 200: for receiving a constant envelope signal;
the signal acquisition module 210: the constant envelope signal acquisition module is used for acquiring an I path signal, a Q path signal and a sampling point index in the constant envelope signal;
the initial IQ compensation parameter acquisition module 220: the IQ compensation module is used for acquiring initial IQ compensation parameters according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameters correspond to the sampling point index;
the final IQ compensation parameter acquisition module 230: and the IQ compensation module is used for training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index to obtain final IQ compensation parameters.
In one embodiment, the signal receiving module is further configured to obtain the I-path signal, the Q-path signal, and the sample index in the constant envelope signal, including: sampling the constant envelope signal within a preset time interval to obtain an I path signal, a Q path signal and a sampling point index, wherein the preset time interval is related to the time for training the initial IQ compensation parameter.
In one embodiment, the acquiring of the initial IQ compensation parameter module is further configured to acquire the initial IQ compensation parameter according to the I-path signal, the Q-path signal, and the sample index, where the acquiring of the initial IQ compensation parameter module includes: and acquiring initial IQ compensation parameters corresponding to the sampling point indexes through an IQ compensation parameter calculation formula according to the I path signals, the Q path signals and the sampling point indexes.
In one embodiment, the IQ compensation parameter obtaining apparatus further includes a first operation module, configured to obtain an initial IQ compensation parameter corresponding to the sampling point index according to the I-path signal, the Q-path signal, and the sampling point index through an IQ compensation parameter calculation formula, where the IQ compensation parameter calculation formula specifically includes:
where k denotes a sample index, x0Representing the I-way signal, y0Representing the Q-path signal, and a, b and c represent the initial IQ compensation parameters, respectively.
In one embodiment, the final IQ compensation parameter is further configured to train the initial IQ compensation parameter through a least mean square algorithm according to the sampling point index, and acquiring the final IQ compensation parameter includes: and searching the sample point index, acquiring an initial IQ compensation parameter corresponding to the sample point index, and training the initial IQ compensation parameter through a least mean square algorithm to acquire a final IQ compensation parameter.
In one embodiment, the IQ compensation parameter obtaining apparatus further includes a second operation module, configured to train the initial IQ compensation parameter through a least mean square algorithm according to the sampling point index, and obtain the final IQ compensation parameter includes: searching a sample point index, acquiring an initial IQ compensation parameter corresponding to the sample point index, training the initial IQ compensation parameter through a least mean square algorithm, and acquiring a final IQ compensation parameter, wherein the least mean square algorithm specifically comprises the following steps:
in the formula, μ represents a step value,
indicating an error value (·)HRepresents the matrix transpose conjugate operation, and a (k), b (k), and c (k) represent the initial IQ compensation parameters corresponding to the sample index, respectively.
In one embodiment, the IQ compensation parameter obtaining apparatus further includes a calibration module, configured to train an initial IQ compensation parameter through least mean square according to a sampling point index, and after obtaining a final IQ compensation parameter, the apparatus further includes: and carrying out IQ calibration on the I path signal and the Q path signal according to the final IQ compensation parameter.
For specific limitations of the IQ compensation parameter acquisition device, reference may be made to the above limitations of the IQ compensation parameter acquisition method, which are not described herein again. The modules in the IQ compensation parameter acquisition apparatus may be wholly or partially implemented by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing IQ compensation parameter acquisition data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method for IQ compensation parameter acquisition.
Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: receiving a constant envelope signal; acquiring an I path signal, a Q path signal and a sampling point index in a constant envelope signal; acquiring an initial IQ compensation parameter according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameter corresponds to the sampling point index; and training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index to obtain final IQ compensation parameters.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the acquiring of the I-path signal, the Q-path signal and the sampling point index in the constant envelope signal comprises: sampling the constant envelope signal within a preset time interval to obtain an I path signal, a Q path signal and a sampling point index, wherein the preset time interval is related to the time for training the initial IQ compensation parameter.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring initial IQ compensation parameters according to the I path signal, the Q path signal and the sampling point index comprises the following steps: and acquiring initial IQ compensation parameters corresponding to the sampling point indexes through an IQ compensation parameter calculation formula according to the I path signals, the Q path signals and the sampling point indexes.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring initial IQ compensation parameters according to the I path signal, the Q path signal and the sampling point index comprises the following steps: according to the I path signal, the Q path signal and the sampling point index, obtaining an initial IQ compensation parameter corresponding to the sampling point index through an IQ compensation parameter calculation formula, wherein the IQ compensation parameter calculation formula specifically comprises:
where k denotes a sample index, x0Representing the I-way signal, y0Representing the Q-path signal, and a, b and c represent the initial IQ compensation parameters, respectively.
In one embodiment, the processor, when executing the computer program, further performs the steps of: training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index, and acquiring final IQ compensation parameters comprises the following steps: and searching the sample point index, acquiring an initial IQ compensation parameter corresponding to the sample point index, and training the initial IQ compensation parameter through a least mean square algorithm to acquire a final IQ compensation parameter.
In one embodiment, the processor, when executing the computer program, further performs the steps of: training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index, and acquiring final IQ compensation parameters comprises the following steps: searching a sample point index, acquiring an initial IQ compensation parameter corresponding to the sample point index, training the initial IQ compensation parameter through a least mean square algorithm, and acquiring a final IQ compensation parameter, wherein the least mean square algorithm specifically comprises the following steps:
in the formula, μ represents a step value,
indicating an error value (·)HRepresents the matrix transpose conjugate operation, and a (k), b (k), and c (k) represent the initial IQ compensation parameters corresponding to the sample index k, respectively.
In one embodiment, the processor, when executing the computer program, further performs the steps of: training the initial IQ compensation parameters through least mean square according to the sampling point index, and acquiring the final IQ compensation parameters, which further comprises: and carrying out IQ calibration on the I path signal and the Q path signal according to the final IQ compensation parameter.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, the computer program when processed and executed implementing the steps of: receiving a constant envelope signal; acquiring an I path signal, a Q path signal and a sampling point index in a constant envelope signal; acquiring an initial IQ compensation parameter according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameter corresponds to the sampling point index; and training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index to obtain final IQ compensation parameters.
In one embodiment, the computer program when executed by the processor further performs the steps of: the acquiring of the I-path signal, the Q-path signal and the sampling point index in the constant envelope signal comprises: sampling the constant envelope signal within a preset time interval to obtain an I path signal, a Q path signal and a sampling point index, wherein the preset time interval is related to the time for training the initial IQ compensation parameter.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring initial IQ compensation parameters according to the I path signal, the Q path signal and the sampling point index comprises the following steps: and acquiring initial IQ compensation parameters corresponding to the sampling point indexes through an IQ compensation parameter calculation formula according to the I path signals, the Q path signals and the sampling point indexes.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring initial IQ compensation parameters according to the I path signal, the Q path signal and the sampling point index comprises the following steps: according to the I path signal, the Q path signal and the sampling point index, obtaining an initial IQ compensation parameter corresponding to the sampling point index through an IQ compensation parameter calculation formula, wherein the IQ compensation parameter calculation formula specifically comprises:
where k denotes a sample index, x0Representing the I-way signal, y0Representing the Q-path signal, and a, b and c represent the initial IQ compensation parameters, respectively.
In one embodiment, the computer program when executed by the processor further performs the steps of: training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index, and acquiring final IQ compensation parameters comprises the following steps: and searching the sample point index, acquiring an initial IQ compensation parameter corresponding to the sample point index, and training the initial IQ compensation parameter through a least mean square algorithm to acquire a final IQ compensation parameter.
In one embodiment, the computer program when executed by the processor further performs the steps of: training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index, and acquiring final IQ compensation parameters comprises the following steps: searching a sample point index, acquiring an initial IQ compensation parameter corresponding to the sample point index, training the initial IQ compensation parameter through a least mean square algorithm, and acquiring a final IQ compensation parameter, wherein the least mean square algorithm specifically comprises the following steps:
in the formula, μ represents a step value,
indicating an error value (·)HRepresents the matrix transpose conjugate operation, and a (k), b (k), and c (k) represent the initial IQ compensation parameters corresponding to the sample index, respectively.
In one embodiment, the computer program when executed by the processor further performs the steps of: training the initial IQ compensation parameters through least mean square according to the sampling point index, and acquiring the final IQ compensation parameters, which further comprises: and carrying out IQ calibration on the I path signal and the Q path signal according to the final IQ compensation parameter.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. An IQ compensation parameter acquisition method, comprising:
receiving a constant envelope signal;
acquiring an I path signal, a Q path signal and a sampling point index in the constant envelope signal;
acquiring an initial IQ compensation parameter according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameter corresponds to the sampling point index;
training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point index to obtain final IQ compensation parameters;
the acquiring of the I-path signal, the Q-path signal and the sampling point index in the constant envelope signal includes:
sampling the constant envelope signal within a preset time interval to obtain the I path signal, the Q path signal and the sampling point index, wherein the preset time interval is related to the time for training the initial IQ compensation parameter;
the obtaining of the initial IQ compensation parameter according to the I-path signal, the Q-path signal, and the sampling point index includes:
acquiring the initial IQ compensation parameter corresponding to the sampling point index through an IQ compensation parameter calculation formula according to the I path signal, the Q path signal and the sampling point index;
the IQ compensation parameter calculation formula specifically includes:
wherein k represents the sample index, x0Represents the I-path signal, y0Representing the Q-path signal, a, b and c respectively representing the initial IQ compensation parameter;
the least mean square algorithm specifically comprises:
in the formula, μ represents a step value,
indicating an error value (·)HThe initial IQ compensation parameters are respectively expressed by a (k), b (k), and c (k) of the matrix transposition conjugate operation.
2. The IQ compensation parameter acquisition method according to claim 1, wherein the training of the initial IQ compensation parameter by a least mean square algorithm according to the sample point index, acquiring final IQ compensation parameters comprises:
searching the sampling point index, acquiring the initial IQ compensation parameter corresponding to the sampling point index, training the initial IQ compensation parameter through a least mean square algorithm, and acquiring the final IQ compensation parameter.
3. The IQ compensation parameter acquisition method according to claim 1, wherein the training of the initial IQ compensation parameter by a least mean square algorithm according to the sampling point index further comprises:
and carrying out IQ calibration on the I-path signal and the Q-path signal according to the final IQ compensation parameter.
4. An IQ compensation parameter acquisition apparatus, comprising:
a signal receiving module: for receiving a constant envelope signal;
a signal acquisition module: the constant envelope signal acquisition unit is used for acquiring an I path signal, a Q path signal and a sampling point index in the constant envelope signal;
an initial IQ compensation parameter acquisition module: the IQ compensation module is used for acquiring an initial IQ compensation parameter according to the I path signal, the Q path signal and the sampling point index, wherein the initial IQ compensation parameter corresponds to the sampling point index;
a final IQ compensation parameter acquisition module: the IQ compensation module is used for training the initial IQ compensation parameters through a least mean square algorithm according to the sampling point indexes to obtain final IQ compensation parameters;
the signal receiving module is further configured to sample the constant envelope signal within a preset time interval, and acquire an I-path signal, a Q-path signal, and a sampling point index, where the preset time interval is related to a time for training an initial IQ compensation parameter;
the initial IQ compensation parameter acquisition module is also used for acquiring initial IQ compensation parameters corresponding to the sampling point indexes through an IQ compensation parameter calculation formula according to the I path signals, the Q path signals and the sampling point indexes;
the IQ compensation parameter calculation formula specifically comprises:
where k denotes a sample index, x0Representing the I-way signal, y0Representing Q path signals, a, b and c respectively represent initial IQ compensation parameters;
the least mean square algorithm is specifically as follows:
in the formula, μ represents a step value,
indicating an error value (·)HRepresents the matrix transpose conjugate operation, and a (k), b (k), and c (k) represent the initial IQ compensation parameters corresponding to the sample index, respectively.
5. The IQ compensation parameter acquisition device according to claim 4, wherein the final IQ compensation parameter is further used to search for a sample index, acquire an initial IQ compensation parameter corresponding to the sample index, and train the initial IQ compensation parameter through a least mean Square algorithm to acquire the final IQ compensation parameter.
6. The IQ compensation parameter acquisition apparatus according to claim 4, further comprising a calibration module for IQ calibrating the I-path signal and the Q-path signal according to the final IQ compensation parameter.
7. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 3 when executing the computer program.
8. 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 of any one of claims 1 to 3.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1713537A (en) * | 2004-06-23 | 2005-12-28 | 瑞昱半导体股份有限公司 | Correcting unit and method for mismatched phase-synchronized signal and orthogonal-phase signal |
| CN101223701A (en) * | 2005-06-09 | 2008-07-16 | Itt制造企业公司 | Multi-carrier constant envelope signal scheme for power and bandwidth efficient communications |
| CN102377727A (en) * | 2010-08-10 | 2012-03-14 | 索尼公司 | Quadrature receiver and method of compensating for I/Q imbalance using a calibration signal |
| CN102549994A (en) * | 2011-11-15 | 2012-07-04 | 华为技术有限公司 | Method and device for correcting in-phase orthogonal signal |
| CN102832987A (en) * | 2012-08-02 | 2012-12-19 | 奥维通信股份有限公司 | LMS (least mean square) algorithm-based system and method for correcting digital repeater flatness in band |
| CN104584499A (en) * | 2012-08-13 | 2015-04-29 | 德克萨斯仪器股份有限公司 | Blind I/Q mismatch compensation apparatus and methods |
| CN105897189A (en) * | 2016-03-31 | 2016-08-24 | 电子科技大学 | Digital pre-distorter structure and method for look-up table |
| CN106817336A (en) * | 2017-02-17 | 2017-06-09 | 珠海全志科技股份有限公司 | A kind of I/Q data calibration method and its device based on constant envelope signal |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8817834B2 (en) * | 2011-05-02 | 2014-08-26 | Maxlinear, Inc. | Method and system for I/Q mismatch calibration and compensation for wideband communication receivers |
-
2018
- 2018-11-28 CN CN201811433824.2A patent/CN109660482B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1713537A (en) * | 2004-06-23 | 2005-12-28 | 瑞昱半导体股份有限公司 | Correcting unit and method for mismatched phase-synchronized signal and orthogonal-phase signal |
| CN101223701A (en) * | 2005-06-09 | 2008-07-16 | Itt制造企业公司 | Multi-carrier constant envelope signal scheme for power and bandwidth efficient communications |
| CN102377727A (en) * | 2010-08-10 | 2012-03-14 | 索尼公司 | Quadrature receiver and method of compensating for I/Q imbalance using a calibration signal |
| CN102549994A (en) * | 2011-11-15 | 2012-07-04 | 华为技术有限公司 | Method and device for correcting in-phase orthogonal signal |
| CN102832987A (en) * | 2012-08-02 | 2012-12-19 | 奥维通信股份有限公司 | LMS (least mean square) algorithm-based system and method for correcting digital repeater flatness in band |
| CN104584499A (en) * | 2012-08-13 | 2015-04-29 | 德克萨斯仪器股份有限公司 | Blind I/Q mismatch compensation apparatus and methods |
| CN105897189A (en) * | 2016-03-31 | 2016-08-24 | 电子科技大学 | Digital pre-distorter structure and method for look-up table |
| CN106817336A (en) * | 2017-02-17 | 2017-06-09 | 珠海全志科技股份有限公司 | A kind of I/Q data calibration method and its device based on constant envelope signal |
Non-Patent Citations (2)
| Title |
|---|
| "On the Impact of I/Q Imbalance in Multi-Carrier Systems";Marcus Windisch等;《2007 IEEE International Symposium on Circuits and Systems》;20070625;全文 * |
| "面向IEEE802.11a/b/n/ac射频一致性测试的IQ不平衡估计算法研究与应用";赵芬;《中国优秀硕士学位论文全文数据库 信息科技辑》;20170215;全文 * |
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