CN114629514B - Direct current correction method based on channel estimation and zero intermediate frequency receiver - Google Patents
Direct current correction method based on channel estimation and zero intermediate frequency receiver Download PDFInfo
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- H—ELECTRICITY
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- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
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Abstract
The application discloses a direct current correction method based on channel estimation and a zero intermediate frequency receiver. The direct current correction method based on the channel estimation comprises the following steps: receiving a transmit signal transmitted from a transmitter; acquiring a power delay spectrum based on channel multipath response of the transmitted signal; acquiring a frequency domain related value sequence according to the power delay spectrum; determining a frequency domain interpolation coefficient according to the frequency domain correlation value sequence; reconstructing a channel estimation value of the zero frequency position according to the frequency domain interpolation coefficient and the channel estimation value of the adjacent zero frequency position; and carrying out channel equalization on the transmitting signal based on the channel estimation value and the direct current value of the zero frequency position so as to demodulate and restore the original information of the zero frequency position. Therefore, when the transmitter fills the direct current sub-carrier, the baseband direct current offset can be effectively eliminated, the normal channel equalization at the zero frequency position is ensured, and the problem that the channel equalization has saturation overflow at the zero frequency position when the baseband direct current offset is eliminated by adopting digital direct current removal is solved.
Description
Technical Field
The present application relates to the field of wireless communications technologies, and in particular, to a direct current correction method based on channel estimation and a zero intermediate frequency receiver.
Background
In recent years, rapid development of wireless communication technologies such as wireless local area network, 3G technology, bluetooth, etc. has promoted further research on integrated wireless receivers in the GHz band. The architecture of wireless receivers based on these wireless communication standards is largely divided into super-heterodyne and zero intermediate frequency. The super-heterodyne receiver converts a signal frequency band (RF) to a relatively low Intermediate Frequency (IF), filters, amplifies, and converts the intermediate frequency to a baseband, and finally performs quantization demodulation, wherein the super-heterodyne receiver requires an off-chip passive device to implement an intermediate frequency filtering function, but the device has high power and generates an image signal, so that removing the image signal becomes a difficulty that must be overcome in developing the super-heterodyne receiver. As such, the zero intermediate frequency receiver does not need to pass through intermediate frequency in the frequency conversion process, and the image frequency is the radio frequency signal itself, so that the zero intermediate frequency receiver gradually becomes the most widely used receiver structure at present.
However, the zero intermediate frequency receiver introduces baseband during frequency conversion, which results in dc offset, thereby reducing the overall dynamic range of the system, so that the baseband dc offset needs to be eliminated as much as possible. When the zero intermediate frequency receiver adopts a simple analog circuit DC removal technology to remove the baseband DC offset, the problem that the DC offset of the baseband signal is difficult to be removed cleanly or the circuit is complex and is not suitable for chip-level implementation exists. Therefore, when developing a zero intermediate frequency receiver, related personnel usually adopt a digital dc-removing technology to remove the baseband dc offset, but if the transmitter fills data in a dc position, the channel estimation value at the dc subcarrier is seriously affected, so as to affect the channel equalization, so that the equalization at the dc subcarrier is extremely abnormal, and if the receiver is a fixed-point system, a maximum saturation value occurs, that is, the normal operation of the system is easily affected.
Disclosure of Invention
The embodiment of the application provides a direct current correction method based on channel estimation and a zero intermediate frequency receiver, which solve the problem that the channel estimation value at a direct current subcarrier is seriously influenced when a transmitter fills data at a direct current position in the prior art, thereby influencing channel equalization.
In order to solve the technical problems, the application is realized as follows:
In a first aspect, a direct current correction method based on channel estimation is provided, which is applied to a zero intermediate frequency receiver. The direct current correction method based on the channel estimation comprises the following steps: receiving a transmit signal transmitted from a transmitter; acquiring a power delay spectrum (power delay spectrum, PDP) based on a channel multipath response of the transmitted signal; acquiring a frequency domain related value sequence according to the power delay spectrum; determining a frequency domain interpolation coefficient according to the frequency domain correlation value sequence; reconstructing a channel estimation value of the zero frequency position according to the frequency domain interpolation coefficient and the channel estimation value of the adjacent zero frequency position; and carrying out channel equalization on the transmitting signal based on the channel estimation value and the direct current value of the zero frequency position so as to demodulate and restore the original information of the zero frequency position.
In a second aspect, there is provided a zero intermediate frequency receiver comprising: the device comprises a receiving module, an acquisition module, a correlation operation module, an estimation module and an equalization module, wherein the acquisition module is connected with the receiving module, the correlation operation module is connected with the acquisition module, the estimation module is connected with the correlation operation module, and the equalization module is connected with the estimation module. The receiving module is used for receiving a transmitting signal transmitted by the transmitter; the acquisition module is used for acquiring a power delay spectrum based on the channel multipath response of the transmitting signal; the correlation operation module is used for acquiring a frequency domain correlation value sequence according to the power delay spectrum and determining a frequency domain interpolation coefficient according to the frequency domain correlation value sequence; the estimation module is used for reconstructing the channel estimation value of the zero frequency position according to the frequency domain interpolation coefficient and the channel estimation value of the adjacent zero frequency position; and the equalization module is used for carrying out channel equalization on the transmitting signal based on the channel estimation value and the direct current value of the zero frequency position so as to demodulate and restore the original information of the zero frequency position.
In the embodiment of the application, the channel estimation value of the zero frequency position is restored by a frequency domain correlation method of channel multipath, so that the problem that saturation overflow of the zero frequency position exists in channel equalization when baseband direct current offset is eliminated by adopting digital direct current removal is solved; and simultaneously, the original information of the zero frequency position is completely restored by utilizing the time-frequency relation and the channel equalization of direct current. Therefore, the embodiment of the application can effectively eliminate the baseband direct current offset while the transmitter fills the direct current sub-carrier, ensure the normal channel equalization and have no abnormality.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
fig. 1 is a block diagram of a zero intermediate frequency receiver according to an embodiment of the present application; and
Fig. 2 is a flowchart of a method for dc correction based on channel estimation according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Because the zero intermediate frequency receiver adopts the digital DC-removing technology to eliminate the problem that the baseband DC offset can cause deep notch in the zero frequency position in the frequency offset estimation, thereby causing saturation overflow of subcarriers in the zero frequency position and subcarriers nearby, the embodiment of the application provides a frequency domain correlation principle generated by channel multipath response, the zero intermediate frequency receiver 100 optimizes the estimation error of the zero frequency position by utilizing subcarriers around the zero frequency position, and then restores the zero frequency component, so as to optimally protect the channel estimation value of the zero frequency position, and solve the problems in the prior art. Detailed descriptionreferring to fig. 1, a block diagram of a zero intermediate frequency receiver according to an embodiment of the present application is shown.
As shown in fig. 1, the zero intermediate frequency receiver 100 includes: the device comprises a receiving module 110, an acquisition module 120, a correlation operation module 130, an estimation module 140 and an equalization module 150, wherein the acquisition module 120 is connected with the receiving module 110, the correlation operation module 130 is connected with the acquisition module 120, the estimation module 140 is connected with the correlation operation module 130, and the equalization module 150 is connected with the estimation module 140. Wherein the receiving module 110 may be, but is not limited to, an antenna; the acquisition module 120, correlation operation module 130, estimation module 140, and equalization module 150 may be generated by one or more processors executing a particular program loaded into one or more memory modules or may be embodied in one or more processors, which may be processing units, microprocessors, or any suitable processing element; the memory module may contain any type of volatile memory (volatile memory) and/or non-volatile memory (non-volatile memory), such as: static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), flash memory (Flash), read Only Memory (ROM), etc.; the bus may connect the processor and the memory module, and may include one or more types of buses, such as a type including a data bus (data bus), an address bus (address bus), a control bus (control bus), an expansion bus (expansion bus), and/or a local bus (local bus).
The receiving module 110 may be used to receive a transmitted signal from a transmitter. The transmitted signal may be a signal transmitted by a transmitter for measurement or monitoring purposes by the wireless communication system, and may also be referred to as a reference signal. The receiving module 110 may be, but is not limited to, a plurality of antennas.
The acquisition module 120 may be configured to acquire a power delay profile based on a channel multipath response of the transmitted signal. Due to multipath of the mobile communication channel, dispersion is caused in time, frequency and angle, and the power delay spectrum is used for describing the dispersion of the channel in time, namely describing the change relation of power along with delay. After receiving module 110 receives a transmission signal, obtaining a channel response of the transmission signal in a frequency domain and a channel response of the transmission signal in a time domain by performing channel estimation on the transmission signal, thereby obtaining a power delay spectrum based on a channel multipath response of the transmission signal.
The correlation operation module 130 may be configured to obtain a frequency domain correlation value sequence according to the power delay spectrum, and determine a frequency domain interpolation coefficient according to the frequency domain correlation value sequence. Since the frequency domain correlation is obtained by performing a fast fourier transform (Fast Fourier Transformation, FFT) operation on a power delay spectrum in channel estimation, in an embodiment, the correlation operation module 130 may determine a position of an energy maximum path of the transmission signal according to the power delay spectrum, and then perform an FFT operation on the power delay spectrum by taking K sampling points before and P sampling points after the power delay spectrum with the position of the energy maximum path as a center, so as to obtain the sequence of frequency domain correlation values, where K and P are positive integers. The sum of K and P can be a preset value, and can be adjusted according to actual requirements.
In an embodiment, the correlation operation module 130 further obtains a frequency domain autocorrelation matrix and a frequency domain cross correlation matrix according to the frequency domain correlation value sequence; and determining the frequency domain interpolation coefficient according to the frequency domain autocorrelation matrix and the frequency domain cross correlation matrix. The correlation operation module 130 may obtain the frequency domain cross correlation matrix according to the frequency domain correlation value sequence and the sequence after the decimal delay. In one embodiment, the correlation operation module 130 calculates an inverse of the frequency domain autocorrelation matrix and multiplies the frequency domain cross correlation matrix by the inverse to obtain the frequency domain interpolation coefficients. For example, each element of the frequency-domain autocorrelation matrix Φ FD can be expressed according to the following formula,Wherein, R is a mathematical autocorrelation function, N 0 is a pilot interval, phi FD is a frequency domain autocorrelation matrix, i is the number of rows of the frequency domain autocorrelation matrix, and j is the number of columns of the frequency domain autocorrelation matrix; each element of the frequency domain cross correlation matrix θ FD can be expressed according to the following formula,/>Wherein/>R (r) is the autocorrelation function on each antenna of the zero intermediate frequency receiver 100, N 0 is the pilot spacing, θ FD is the frequency domain cross correlation matrix, i is the number of rows of the frequency domain cross correlation matrix, j is the number of columns of the frequency domain cross correlation matrix,/>Is the number of pilots; the frequency domain interpolation coefficient/>It can be determined according to the following formula,
The estimation module 140 may be configured to reconstruct the channel estimate for the zero frequency location from the frequency domain interpolation coefficients and the channel estimates for neighboring zero frequency locations.
In an embodiment, the estimation module 140 further optimizes the estimation error of the zero frequency location using a least square method based on the frequency domain interpolation coefficient and the channel estimation value of the neighboring zero frequency location to reconstruct the channel estimation value of the zero frequency location (i.e., restore the channel estimation of the zero frequency location).
The equalization module 150 may be configured to perform channel equalization on the transmit signal based on the channel estimation value and the direct current value of the zero frequency position (i.e. the subcarrier value of the zero frequency position), so as to demodulate and recover the original information of the zero frequency position, thereby protecting the problem of saturation and overflow of the zero frequency position in channel equalization.
Referring to fig. 2, a flowchart of a method for dc correction based on channel estimation according to an embodiment of the present application is shown; the direct current correction method based on the channel estimation can be applied to a zero intermediate frequency receiver. As shown, the direct current correction method based on channel estimation may include the following steps: receiving a transmission signal transmitted from a transmitter (step S210); acquiring a power delay spectrum based on a channel multipath response of the transmitted signal (step S220); acquiring a frequency domain correlation value sequence according to the power delay spectrum (step S230); determining a frequency domain interpolation coefficient according to the frequency domain correlation value sequence (step S240); reconstructing a channel estimate for the zero frequency location based on the frequency domain interpolation coefficients and the channel estimates for neighboring zero frequency locations (step S250); and performing channel equalization on the transmission signal based on the channel estimation value and the direct current value of the zero frequency position to demodulate and recover the original information of the zero frequency position (step S260).
In an embodiment, the step S230 may include: determining the position of the energy maximum diameter of the transmitting signal according to the power time delay spectrum; and taking K sampling points in front of the power delay spectrum and P sampling points behind the power delay spectrum by taking the position of the maximum energy diameter as the center to perform FFT operation so as to obtain the frequency domain related value sequence, wherein K and P are positive integers.
In an embodiment, the step S240 may include: acquiring a frequency domain autocorrelation matrix according to the frequency domain correlation value sequence; acquiring a frequency domain cross-correlation matrix according to the frequency domain correlation value sequence; and determining the frequency domain interpolation coefficient according to the frequency domain autocorrelation matrix and the frequency domain cross correlation matrix. For example, the determining the frequency domain interpolation coefficient according to the frequency domain autocorrelation matrix and the frequency domain cross correlation matrix may include: calculating an inverse of the frequency domain autocorrelation matrix; and multiplying the frequency domain cross-correlation matrix by the inverse matrix to obtain the frequency domain interpolation coefficient.
In an embodiment, the step S250 may include: and optimizing the estimation error of the zero frequency position by using LS according to the frequency domain interpolation coefficient and the channel estimation value of the adjacent zero frequency position so as to reconstruct the channel estimation value of the zero frequency position.
In summary, the present application provides a direct current correction method based on channel estimation and a zero intermediate frequency receiver, which restore the channel estimation value of the zero frequency position by the frequency domain correlation method of channel multipath, so as to solve the problem of saturation overflow of the zero frequency position in channel equalization when digital DC removal is adopted to eliminate baseband DC offset; and simultaneously, the original information of the zero frequency position is completely restored by utilizing the time-frequency relation and the channel equalization of direct current. Therefore, the embodiment of the application can effectively eliminate the baseband direct current offset while the transmitter fills the direct current sub-carrier, ensure the normal channel equalization and have no abnormality.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The terms "first," "second," "third," and the like herein are used for modifying elements of the claims, and are not intended to denote a prior order, a first element preceding another element, or a chronological order in which method steps are performed, but are merely used to distinguish one element from another by the same name.
It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may be present. Conversely, when an element is described as being "directly connected" or "directly coupled" to another element, there are no intervening elements present. In addition, any singular reference is intended to encompass a plural reference unless the specification expressly states otherwise.
All or part of the steps in the method described in the present application may be implemented by a computer program, for example, an operating system of a computer, a driver of specific hardware in a computer, or a software program. In addition, other types of programs as shown above may also be implemented. Those of ordinary skill in the art will be able to write the methods of the embodiments of the present application as a computer program and will not be described again for brevity. Computer programs implemented according to methods of embodiments of the present application may be stored on a suitable computer readable medium such as a DVD, CD-ROM, USB, hard disk, or may be located on a network server accessible via a network (e.g., the internet, or other suitable carrier).
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.
Claims (2)
1. A direct current correction method based on channel estimation, applied to a zero intermediate frequency receiver, comprising the steps of:
receiving a transmit signal transmitted from a transmitter;
Acquiring a power delay spectrum based on channel multipath response of the transmitted signal;
acquiring a frequency domain related value sequence according to the power delay spectrum;
Determining a frequency domain interpolation coefficient according to the frequency domain correlation value sequence;
reconstructing a channel estimation value of the zero frequency position according to the frequency domain interpolation coefficient and the channel estimation value of the adjacent zero frequency position;
Performing channel equalization on the transmitting signal based on the channel estimation value and the direct current value of the zero frequency position so as to demodulate and restore the original information of the zero frequency position;
The obtaining the frequency domain correlation value sequence according to the power delay spectrum includes: determining the position of the energy maximum diameter of the transmitting signal according to the power time delay spectrum; taking K sampling points in front of the power time delay spectrum and P sampling points behind the power time delay spectrum with the position of the maximum energy diameter as a center to perform fast Fourier transform operation so as to obtain the frequency domain related value sequence, wherein K and P are positive integers;
Wherein the determining the frequency domain interpolation coefficient according to the frequency domain correlation value sequence includes: acquiring a frequency domain autocorrelation matrix according to the frequency domain correlation value sequence; acquiring a frequency domain cross-correlation matrix according to the frequency domain correlation value sequence; determining the frequency domain interpolation coefficient according to the frequency domain autocorrelation matrix and the frequency domain cross correlation matrix;
Wherein reconstructing the channel estimation value of the zero frequency position according to the frequency domain interpolation coefficient and the channel estimation value of the adjacent zero frequency position comprises: optimizing an estimation error of the zero frequency position by using a least square method according to the frequency domain interpolation coefficient and the channel estimation value of the adjacent zero frequency position so as to reconstruct the channel estimation value of the zero frequency position;
The determining the frequency domain interpolation coefficient according to the frequency domain autocorrelation matrix and the frequency domain cross correlation matrix includes:
Calculating an inverse of the frequency domain autocorrelation matrix;
Multiplying the frequency domain cross-correlation matrix by the inverse matrix to obtain the frequency domain interpolation coefficient.
2. A zero intermediate frequency receiver, comprising:
a receiving module for receiving a transmission signal transmitted from the transmitter;
the acquisition module is connected with the receiving module and is used for acquiring a power time delay spectrum based on the channel multipath response of the transmitting signal;
the correlation operation module is connected with the acquisition module and is used for acquiring a frequency domain correlation value sequence according to the power delay spectrum and determining a frequency domain interpolation coefficient according to the frequency domain correlation value sequence;
the estimation module is connected with the correlation operation module and is used for reconstructing the channel estimation value of the zero frequency position according to the frequency domain interpolation coefficient and the channel estimation value of the adjacent zero frequency position;
The equalization module is connected with the estimation module and is used for carrying out channel equalization on the transmitting signal based on the channel estimation value and the direct current value of the zero frequency position so as to demodulate and restore the original information of the zero frequency position;
The correlation operation module is used for determining the position of the energy maximum path of the transmitting signal according to the power delay spectrum; taking K sampling points in front of the power delay spectrum and P sampling points behind the power delay spectrum by taking the position of the maximum energy diameter as the center to perform FFT operation so as to obtain the frequency domain related value sequence, wherein K and P are positive integers;
The correlation operation module is used for obtaining a frequency domain autocorrelation matrix and a frequency domain cross correlation matrix according to the frequency domain correlation value sequence; determining the frequency domain interpolation coefficient according to the frequency domain autocorrelation matrix and the frequency domain cross correlation matrix;
Wherein the estimation module optimizes an estimation error of the zero frequency position by using a least square method according to the frequency domain interpolation coefficient and the channel estimation value of the adjacent zero frequency position so as to reconstruct the channel estimation value of the zero frequency position;
the correlation operation module also calculates an inverse matrix of the frequency domain autocorrelation matrix, and multiplies the frequency domain cross correlation matrix by the inverse matrix to obtain the frequency domain interpolation coefficient.
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| CN111342919A (en) * | 2018-12-18 | 2020-06-26 | 电信科学技术研究院有限公司 | Method and equipment for estimating frequency domain channel correlation value of channel |
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| US7433430B2 (en) * | 2005-02-09 | 2008-10-07 | Harris Corporation | Wireless communications device providing enhanced block equalization and related methods |
| US8699529B2 (en) * | 2008-03-28 | 2014-04-15 | Qualcomm Incorporated | Broadband pilot channel estimation using a reduced order FFT and a hardware interpolator |
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| CN101227440A (en) * | 2008-02-14 | 2008-07-23 | 北京创毅视讯科技有限公司 | Apparatus and method for eliminating zero-frequency interference in channel estimation |
| CN111342919A (en) * | 2018-12-18 | 2020-06-26 | 电信科学技术研究院有限公司 | Method and equipment for estimating frequency domain channel correlation value of channel |
| CN109861706A (en) * | 2019-02-27 | 2019-06-07 | 中国电子科技集团公司第五十四研究所 | A kind of broadband zero intermediate frequency reciver quadrature mismatch compensation device and method |
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