CN111323803B - Wireless signal processing method, device and terminal - Google Patents
Wireless signal processing method, device and terminal Download PDFInfo
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- CN111323803B CN111323803B CN201811535184.6A CN201811535184A CN111323803B CN 111323803 B CN111323803 B CN 111323803B CN 201811535184 A CN201811535184 A CN 201811535184A CN 111323803 B CN111323803 B CN 111323803B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
- G01S19/45—Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement
- G01S19/46—Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement the supplementary measurement being of a radio-wave signal type
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/22—Multipath-related issues
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/10—Position of receiver fixed by co-ordinating a plurality of position lines defined by path-difference measurements, e.g. omega or decca systems
Abstract
The invention is applicable to the technical field of wireless communication, and provides a wireless signal processing method, a wireless signal processing device and a terminal, wherein the wireless signal processing method comprises the following steps: generating a first function curve according to incoherent accumulated values of wireless signals, and determining the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve; determining a ranging code phase offset of the wireless signal according to the slope; and compensating the ranging error of the ranging code of the wireless signal according to the phase offset of the ranging code. The embodiment of the invention can reduce the ranging error caused by multipath interference when the wireless signal is used for positioning, so that the positioning result obtained based on the wireless signal is more accurate, the user can obtain accurate positioning coordinates in the area with weak wireless signal strength, and the experience of the user is improved.
Description
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a method, an apparatus, and a terminal for processing a wireless signal.
Background
With the continuous improvement of the demands of people for positioning, the problems of low positioning precision, low positioning usability in indoor and severely shielded areas and the like of the satellite positioning technology are gradually revealed. The wireless signal is used as the supplement of the satellite positioning signal, so that the serious shielding area of the indoor satellite positioning signal can be effectively covered, and the defect of low positioning precision of the satellite positioning technology can be effectively overcome. When the wireless signal is used for positioning, multipath interference can be generated due to the influence of buildings, terrains, landforms and the like in the transmission process of the wireless signal, and thermal noise generated by various electronic components is added, so that the pseudo-range measurement value measured by the ranging code of the wireless signal is inaccurate, and finally the positioning result is inaccurate. At present, in the prior art, the distance measurement error caused by multipath interference and thermal noise is usually compensated by using preset parameters, so that although the distance measurement error can be reduced to a certain extent, the distance measurement accuracy is still not accurate enough.
Disclosure of Invention
Accordingly, the main objective of the present invention is to provide a method, an apparatus and a terminal for processing a wireless signal, so as to solve the problem that in the prior art, the accuracy of a positioning result obtained based on the wireless signal is not high due to the fact that error compensation parameters used for multipath interference and thermal noise interference are too simple.
In order to achieve the above purpose, the technical scheme of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a method for processing a wireless signal, where the method includes:
generating a first function curve according to the incoherent accumulated value of the wireless signal;
determining the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve;
determining a ranging code phase offset of the wireless signal according to the slope;
and compensating the ranging error of the ranging code of the wireless signal according to the phase offset of the ranging code.
Further, the determining the ranging code phase offset according to the slope of the wireless signal includes:
subtracting the slope of a straight line formed by any two adjacent incoherent accumulated values on the second function curve from the slope of the straight line formed by any two adjacent incoherent accumulated values to obtain a slope deviation value;
Inquiring a first preset table according to the slope deviation value, and acquiring the ranging code phase offset corresponding to the slope deviation value in the first preset table.
Further, before the generating the first function curve according to the incoherent accumulated value of the wireless signal, the method further includes:
inputting the wireless signals into a correlator to perform correlation operation to obtain coherent accumulated data;
and performing incoherent accumulation on the coherent accumulation data to obtain an incoherent accumulation value.
Further, after the incoherent accumulating the coherent accumulated data to obtain the incoherent accumulated value, the method further includes:
subtracting the incoherent accumulated value from the ideal incoherent accumulated value to obtain an offset value;
counting the times that the deviation value is larger than a preset threshold value in preset time;
judging whether the times are larger than preset times or not;
and if the times are greater than or equal to the preset times, generating a first function curve according to the incoherent accumulated value of the wireless signal.
Further, after the determining whether the number of times is greater than the preset number of times, the method further includes:
and if the frequency is smaller than the preset frequency, inputting the wireless signal into a correlator to perform correlation operation to obtain the coherent accumulation data.
Further, the method further comprises:
counting the number of times of obtaining the maximum incoherent accumulated value by the mth correlator in the preset observation times for the coherent processing of the wireless signal, and obtaining the probability of the mth correlator;
determining probability distribution of M correlators based on the probability of the mth correlator, wherein M is a positive integer smaller than M, and M is the total number of the correlators;
determining the ranging accuracy of the ranging codes of the wireless signals according to the probability distribution;
and according to the ranging accuracy of the ranging code, performing ranging error compensation of the ranging code of the wireless signal.
Further, the determining the ranging accuracy of the ranging code of the wireless signal according to the probability distribution includes:
inquiring a second preset table according to the probability distribution, and acquiring ranging accuracy of ranging codes corresponding to the probability distribution in the second preset table.
In a second aspect, an embodiment of the present invention provides a processing apparatus for a wireless signal, including:
the curve generation module is used for generating a first function curve according to the incoherent accumulated value of the wireless signal;
the slope determining module is used for determining the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve;
A ranging code phase offset determining module for determining a ranging code phase offset of the wireless signal according to the slope;
and the error compensation module is used for compensating the ranging error of the ranging code of the wireless signal according to the phase offset of the ranging code.
Further, the device further comprises:
the statistics module is used for counting the times of obtaining the maximum incoherent accumulated value by the mth correlator on the coherent processing of the wireless signal in the preset observation times, and obtaining the probability of the mth correlator; determining probability distribution of M correlators based on the probability of the mth correlator, wherein M is a positive integer smaller than M, and M is the total number of the correlators;
and the ranging code ranging precision determining module is used for determining the ranging code ranging precision of the wireless signal according to the probability distribution.
In a third aspect, an embodiment of the present invention provides a terminal, including a processor, a correlator, an input device, an output device, and a memory, where the processor, the correlator, the input device, the output device, and the memory are connected to each other, where the memory is configured to store a computer program supporting the terminal to perform the method described above, and the computer program includes program instructions, and the processor is configured to invoke the program instructions to perform the method of the first aspect described above.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of the first aspect described above.
According to the embodiment of the invention, a first function curve is generated according to the incoherent accumulated values of the wireless signals, and the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve is determined; determining a ranging code phase offset of the wireless signal according to the slope; and according to the phase offset of the ranging code, performing ranging error compensation of the ranging code of the wireless signal, wherein the ranging error compensation can compensate a part of errors in ranging, so that the ranging accuracy can be improved. For example, according to the technical scheme provided by the embodiment of the invention, the distance measurement error caused by multipath interference when the wireless signal is used for positioning can be reduced, so that the positioning result obtained based on the wireless signal is more accurate, a user can obtain good positioning coordinates in a region with weak wireless signal strength, and the experience of the user is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of multipath propagation of a wireless signal according to an embodiment of the present invention;
fig. 2 is a flow chart of a method for processing a wireless signal according to an embodiment of the present invention;
FIG. 3 is a graph of a second function provided by an embodiment of the present invention;
FIG. 4 is a graph of a first function in a multipath propagation environment in accordance with an embodiment of the present invention;
FIG. 5 is a schematic diagram showing the slope of a first function curve in a multipath propagation environment according to an embodiment of the present invention;
fig. 6 is a flowchart of another method for processing a wireless signal according to an embodiment of the present invention;
fig. 7 is a flowchart of another method for processing a wireless signal according to an embodiment of the present invention;
fig. 8 is a flow chart of another method for processing a wireless signal according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of correlator jitter caused by thermal noise according to an embodiment of the present invention;
fig. 10 is a schematic block diagram of a method for processing a wireless signal according to an embodiment of the present invention;
fig. 11 is a schematic diagram of a wireless signal processing device according to an embodiment of the present invention;
fig. 12 is a schematic diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention 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 invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
The processing manner of the received signal is greatly different when the wireless signal is used for ranging positioning than when the wireless signal is used for wireless communication. In the application scenario of wireless communication, the reliability of communication between a terminal and a base station is ensured by multiple means, such as signal diversity, signal retransmission mechanism, channel coding and decoding error correction, signaling interaction, connection confirmation, and the like. In addition, the wireless communication process is usually a burst data transmission process, and the terminal and the base station are not required to keep a signal interaction state all the time, but in the ranging and positioning by utilizing the wireless signals, the receiver is required to continuously observe the received wireless signals due to the requirement of realizing the continuous positioning function, and obtain the pseudo-range measurement value according to the observed value. Even when the signal strength of the wireless signal continues to fluctuate or suffers from multipath interference, the receiver should keep the received signal as uninterrupted as possible to obtain continuous pseudorange measurements, ensuring that the positioning results are continuous and non-divergent. In this process, the mechanisms such as data retransmission cannot compensate for the deterioration of the pseudo-range measurement value due to the channel deterioration, and therefore, the ranging error compensation is required for the ranging error due to the channel deterioration.
Referring to fig. 1, fig. 1 is a schematic diagram of multipath propagation of a wireless signal provided in an embodiment of the present invention, as shown in fig. 1, due to the existence of a building and an obstacle, the wireless signal sent by a base station forms multipath propagation at the obstacle, and the multipath signal is superimposed on a direct path signal to cause a ranging error, so that the ranging error compensation is required for the error caused by the multipath interference.
In addition, since thermal noise of various electronic components continues to have an influence on the accuracy of positioning, especially in a weak signal environment, the influence of thermal noise is more serious. If the distance measurement error due to thermal noise is not compensated, it affects the final positioning result. In a weak signal environment, the adaptability of the pseudo-range measurement value to parameters such as signal-to-noise ratio, carrier-to-noise ratio and symbol signal-to-noise ratio is far higher than that in a wireless communication application scene, however, a terminal usually has a certain mobility due to the movement of a user, when the user moves to an occlusion region, the influence of signal intensity fluctuation and Doppler frequency shift due to the occlusion of an obstacle on signal heated noise is serious, and the parameters such as signal-to-noise ratio, carrier-to-noise ratio and symbol signal-to-noise ratio in the general sense often cannot effectively reflect the quality of a received signal in time.
Therefore, if error compensation is not performed for the ranging error caused by multipath interference and thermal noise, the positioning result finally obtained must be inaccurate. If the error compensation is simply carried out by using the preset parameters to input the position calculation algorithm, the positioning result calculated by the position calculation algorithm is not accurate enough.
Therefore, the embodiment of the invention provides a wireless signal processing method, which respectively carries out error compensation on the distance measurement errors caused by multipath interference and thermal noise interference, so that the positioning result obtained based on the wireless signal is more accurate. In order to illustrate the technical scheme of the invention, the following description is made by specific examples.
Referring to fig. 2, fig. 2 is a flowchart of a method for processing a wireless signal according to an embodiment of the present invention, where an execution body of the method is a processor, and the processor executes the method as described in steps S101 to S104, and the method includes:
step S101, a first function curve is generated according to incoherent accumulated values of wireless signals.
The incoherent accumulated value is a value obtained by carrying out coherent operation on the input wireless signals and then carrying out incoherent accumulation. The main purpose of the correlation operation is to extract the direct path signal from the multipath interference and the thermal noise, and the main purpose of the incoherent accumulation is to further increase the accumulation gain of the received signal.
In one embodiment of the present invention, the first function curve is an autocorrelation function curve, and the autocorrelation function is also exemplified in the following embodiments. Specifically, the generating an autocorrelation function curve according to the incoherent accumulated value includes: the processor takes the incoherent accumulated value as an ordinate, the time delay of each correlator for generating subcarrier signals as an abscissa, and an autocorrelation function curve is established.
For example, referring to fig. 3, fig. 3 is a second function graph provided in an embodiment of the present invention, where the second function graph is an autocorrelation function graph generated according to a wireless signal in an ideal state without thermal noise and multipath interference. As shown in fig. 3, the autocorrelation function curves are symmetrical in the absence of thermal noise and multipath interference. The second function curve may be simulated by the processor running the matlab program in advance and stored in memory.
Due to the presence of buildings and obstructions, the wireless signals transmitted by the base station form multipath propagation at the obstructions, and the multipath signals are superimposed on the direct path signals, resulting in ranging errors. As shown in fig. 4, fig. 4 is a graph of a first function in a multipath propagation environment according to an embodiment of the present invention. As shown in fig. 4, due to the superposition of the multipath signal onto the direct path signal, the correlator symmetry is broken, resulting in an asymmetric generated autocorrelation function curve, and multiple peaks may occur.
It should be appreciated that since the correlation performed by the correlator may be performed periodically, the points on the curve corresponding to any two adjacent incoherent accumulated values will not be spaced apart on the coordinate axis.
Step S102, determining the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve.
Because the autocorrelation function curves are generated according to the incoherent accumulated values, each incoherent accumulated value corresponds to one point on the curve, for example, if there are 5 correlators, 5 incoherent accumulated values are correspondingly calculated, 5 corresponding points are on the curve, two adjacent points are connected to obtain 4 straight lines, and 4 slopes are correspondingly formed.
For example, referring to fig. 5, fig. 5 is a schematic diagram of the slope of a first function curve in a multipath propagation environment according to an embodiment of the present invention. As shown in fig. 5, there are A, B points adjacent to each other on the autocorrelation function curve, and if the coordinates of the point a are (x 1, y 1) and the coordinates of the point B are (x 2, y 2), the slope k= (y 1-y 2)/(x 1-x 2) of the straight line formed by the point a and the point B.
Step S103, determining the ranging code phase offset of the wireless signal according to the slope.
Due to multipath interference, the autocorrelation function curve generated according to the incoherent accumulated value and the second function curve are different, the slope of a straight line formed by two adjacent points on the curve is also changed, and the larger the slope of the straight line is, the more serious the multipath interference is, and the larger the phase offset of the direct-path signal ranging code is.
Further, the determining the ranging code phase offset of the wireless signal according to the slope includes:
and subtracting the slope of a straight line formed by the slope correspondence and any two adjacent incoherent accumulated values on the second function curve to obtain a slope deviation value.
For example, as shown in fig. 5, the slope k= (y 1-y 2)/(x 1-x 2) of a straight line formed by points a and B on the curve. As shown in FIG. 3, there is a corresponding to two points A, B on the second function curve 1 And B 1 Corresponding here means two points on the corresponding curve under the same abscissa, if A 1 The coordinates of the points are (x 1, y 1 1)，B 1 The coordinates of the points are (x 2, y 1 2) Then A on the second functional curve 1 Point and B 1 Slope k of straight line formed by points 1 ＝(y 1 1-y 1 2) /(x 1-x 2). Then the slope deviation value is equal to k-k 1 The closer the slope deviation value is to 0, the smaller the multipath interference to the wireless signal is, the smaller the ranging code phase offset is, and the magnitude of the ranging code phase offset can be determined through the slope deviation value.
In the embodiment of the invention, since the second function curve is a curve in an ideal state which is simulated by matlab, the slope of a straight line formed by any two adjacent incoherent accumulated values on the second function curve is known, the slope of a straight line formed by any two adjacent incoherent accumulated values on the second function curve is obtained in advance by the processor and written into the memory, and the slope is directly called from the memory when the slope deviation value is calculated.
Inquiring a first preset table according to the slope deviation value, and acquiring the ranging code phase offset corresponding to the slope deviation value in the first preset table.
The slope deviation value has a certain corresponding relation with the ranging code phase offset, and different slope deviation values correspond to different ranging code phase offsets. For example, if the number of correlators is 3, 3 straight lines can be formed on the first function curve, and if slope deviation values of the 3 straight lines are all 0, the ranging code phase offset is 0. The processor acquires specific corresponding relations between slope deviation values and ranging code phase offset obtained through experiments in advance, writes the corresponding relations between the slope deviation values and the ranging code phase offset into a first preset table one by one, and when the slope deviation values are obtained, the ranging code phase offset can be obtained by looking up the first preset table, and the first preset table is stored in a memory.
Step S104, according to the distance measuring code phase offset, the distance measuring error compensation of the distance measuring code of the wireless signal is carried out.
The distance measurement code phase offset is used as a distance measurement error compensation parameter of a position calculation algorithm to participate in position calculation, so that the distance measurement error caused by multipath interference can be reduced, and the positioning accuracy of the positioning coordinates calculated by the position calculation algorithm is improved.
In the embodiment of the present invention, the position calculation algorithm is a position calculation algorithm commonly used in the art, and thus a detailed description will not be provided. For example, the position calculation algorithm includes: a weighted least squares filter algorithm or a kalman filter algorithm.
According to the embodiment of the invention, a first function curve is generated according to the incoherent accumulated values of the wireless signals, and the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve is determined; determining a ranging code phase offset of the wireless signal according to the slope; and compensating the ranging error of the ranging code of the wireless signal according to the phase offset of the ranging code. The distance measurement error compensation can compensate a part of errors in the distance measurement, so that the distance measurement precision can be improved. For example, according to the technical scheme provided by the embodiment of the invention, the distance measurement error caused by multipath interference when the wireless signal is used for positioning can be reduced, so that the positioning result obtained based on the wireless signal is more accurate, a user can obtain accurate positioning coordinates in a region with weak wireless signal strength, and the experience of the user is improved.
Referring to fig. 6, fig. 6 is a flowchart of another processing method of wireless signals according to an embodiment of the present invention, as shown in fig. 6, in step S101 in the above embodiment: before the first function curve is generated according to the incoherent accumulated value of the wireless signal, the method further comprises steps S1001 to S1002.
In step S1001, the wireless signal is input to a correlator to perform a correlation operation, so as to obtain coherent accumulated data.
Specifically, the inputting the wireless signal into the correlator to perform a correlation operation to obtain coherent accumulated data includes:
and the correlator uses a group of locally generated subcarrier signals to perform correlation operation with the wireless signals to obtain coherent accumulated data.
The correlator can use the correlation properties of the signal to extract the direct path signal from multipath interference, or thermal noise. The correlator comprises: a local carrier signal generator, a correlation operation array module, etc. The local carrier signal generator is used for generating two paths of mutually orthogonal discrete signals, which are commonly called subcarrier signals. The correlation operation array module is used for carrying out correlation operation on the input signal and the subcarrier signal generated by the local carrier signal generator.
The input signal is a wireless signal sent by the base station for positioning. The processor acquires coherent accumulation data obtained after a correlator performs correlation operation on a group of locally generated subcarrier signals and input signals, and an operation formula of the correlation operation is as follows:
where Cor is coherent accumulation data, τ is the time interval for each correlator to generate a subcarrier signal, s is the received wireless signal, l is the coherent accumulation length, f 1 (t+τ) to f m (t+τ) is a subcarrier signal divided into m parts, 1 to m being subcarrier numbers, the allocation of subcarriers being specified by the third generation partnership project (3rd Generation Partnership Project,3GPP); d (D) 1 To D m For the ranging code number of the wireless signal, since the ranging code is modulated on the subcarrier signal, the subcarrier is divided into a plurality of parts, and the ranging code is divided into a plurality of parts, so that at D 1 To D m In which 1 to m also represent subcarriersThe number of the wave; e is the base of the natural logarithm and j represents the negative number. To ensure signal estimation resolution, typically τ is less than or equal to 0.5Ts, which is one ranging code symbol width.
Because the local carrier signal generator generates 2 paths of mutually orthogonal signals, 2 coherent accumulation data are obtained after correlation operation, one path of coherent accumulation data is recorded as I, and the other path of coherent accumulation data is recorded as Q.
Step S1002, performing incoherent accumulation on the coherent accumulation data to obtain the incoherent accumulation value.
Specifically, the performing incoherent accumulation on the coherent accumulation data to obtain an incoherent accumulation value includes:
and performing data accumulation after modulus or modulus square on the coherent accumulation data to obtain a non-coherent accumulation value.
Taking the coherent accumulation data I of one path as a real part and the coherent accumulation data Q of the other path as an imaginary part.
The data accumulation formula after taking the module is as follows:
the data accumulation formula after the modular squaring is as follows:
wherein Noncoh is an incoherent accumulated value, and k is the incoherent accumulated number.
Because the wireless signal is required to restore the truly available ranging signal to the maximum in the weaker signal tracking when being used for ranging positioning, a longer incoherent accumulation time is required, and usually, the incoherent accumulation time in millisecond or second is taken. For example, one embodiment of the present invention uses non-coherent accumulation times on the order of seconds. The incoherent accumulation time can be realized by increasing the k value in the formula, wherein k is the incoherent accumulation times, and the more the incoherent accumulation times are, the longer the incoherent accumulation time is correspondingly.
Referring to fig. 7, fig. 7 is a flowchart of another processing method of wireless signals provided by the present invention, and as shown in fig. 7, after step S1002 in the above embodiment, steps S1003 to S1007 are further included.
And step S1003, subtracting the incoherent accumulated value from the ideal incoherent accumulated value to obtain an offset value.
The ideal incoherent accumulated value is the incoherent accumulated value on the second function curve, because the wireless signal is affected by multipath interference and thermal noise, the incoherent accumulated value may be different from the ideal incoherent accumulated value, the incoherent accumulated value is correspondingly subtracted from the ideal incoherent accumulated value, and an offset value is obtained, the offset value may reflect the quality of the input signal, and the smaller the offset is, the closer the representative input signal is to the ideal input signal. For example, as shown in FIGS. 3 and 5, the ordinate of the point A in FIG. 5 is subtracted by A in FIG. 3 1 The ordinate of a point, i.e. the deviation value, which = y1-y 1 1。
Step S1004, counting the times that the deviation value is larger than a preset threshold value in the preset time.
The preset time is an observation time, and for example, the preset time may be 1 to 5 seconds. The preset threshold value is used for reflecting whether multipath interference exists in the input signal, and if the deviation value is larger than the preset threshold value, the current received wireless signal is indicated to be subjected to multipath interference.
Since continuous observation of a signal is required, it cannot be said that a wireless signal is subject to multipath interference based on the result of one observation, and thus it is required to continuously observe for a certain time. Because the signal is periodically processed, the offset value is calculated multiple times within the preset time.
It will be appreciated that if all incoherent accumulated values are subtracted from the corresponding ideal incoherent accumulated values, there may be a plurality of deviation values greater than the preset threshold, and therefore, in one observation, the number of times is only 1, no matter how many deviation values are greater than the preset threshold.
Step S1005, judging whether the number of times is larger than a preset number of times.
The preset time and the preset number of times are set empirically by a technician, for example, the preset time is 2 seconds, and the preset number of times is 10 times.
For example, if the number of times is 20 and the preset number of times is 10, the number of times is greater than the preset number of times.
Step S1006, if the number of times is greater than or equal to the preset number of times, generating a first function curve according to the incoherent accumulated value of the wireless signal.
If the number of times is greater than or equal to the preset number of times, it is indicated that the wireless signal is subject to multipath interference, and error compensation of the multipath interference is required, and the steps S101 and subsequent steps of the above embodiment are executed.
Step S1007, if the number of times is less than the preset number of times, inputting the wireless signal into a correlator for correlation operation to obtain the coherent accumulation data.
If the number of times is smaller than the preset number of times, it is indicated that the wireless signal is not subject to multipath interference, and error compensation of multipath interference is not needed, step S1001 and the following steps of the above embodiment are executed, and the received wireless signal is input into a correlator to perform correlation operation, so as to obtain the coherent accumulation data.
The embodiment of the invention obtains the deviation value by subtracting the incoherent accumulated value from the ideal incoherent accumulated value; counting the times that the deviation value is larger than a preset threshold value in preset time; judging whether the times are larger than preset times or not; if the times are greater than or equal to the preset times, the wireless signal is proved to be truly subjected to multipath interference, and error compensation is needed for errors caused by the multipath interference; if the number of times is smaller than the preset number of times, the wireless signal is not subjected to multipath interference, and error compensation of the multipath interference is not needed. The embodiment of the invention provides a judgment basis for the distance measurement error compensation caused by multipath interference.
Referring to fig. 8, fig. 8 is a flowchart of another wireless signal processing method provided by the present invention, and as shown in fig. 8, in the above embodiment, the method further includes steps S105 to S107.
Step S105, counting the number of times that the mth correlator carries out coherent processing on the wireless signal to obtain the maximum incoherent accumulated value in the preset observation times, and obtaining the probability of the mth correlator; and determining probability distribution of M correlators based on the probability of the mth correlator.
Wherein M is a positive integer less than M, and M is the total number of correlators.
Referring to fig. 9, fig. 9 is a schematic diagram of correlator jitter caused by thermal noise, where the correlator with a time offset of 0 cannot be accurately aligned with the ranging code phase of the received signal due to a weak signal environment or user movement, so that random disturbance is formed, and an autocorrelation function curve and a second function curve in the thermal noise environment as shown in fig. 9 cannot overlap. Along with the continuous weakening of the signal, random disturbance is gradually strengthened, and then the ranging accuracy and the positioning accuracy are affected. Ranging codes are a binary code sequence used to determine the distance from a satellite to a receiver because pseudorange measurements made by the ranging code are inaccurate due to thermal noise and the symbol width of the ranging code itself. It is therefore necessary to estimate the range accuracy of the range code of the input signal, which is used to represent the range confidence of the range code of the input signal, the higher the confidence the better the signal quality of the input signal, the more accurate the pseudorange measurement value measured with the range code of the input signal. When the measurement accuracy of the ranging code of the input signal is high, the system increases the weight of the input signal, and tells the position resolving algorithm to fully trust the pseudo-range measurement value measured by the ranging code of the input signal; conversely, when the ranging accuracy of the ranging code of the input signal is low, indicating that the signal quality of the input signal is poor, the system will reduce the weight of the input signal, telling the position resolution algorithm not to over trust the pseudorange measurements measured by the ranging code of the input signal.
Because of the continuous positioning function, continuous observation of the wireless signal is required. The number of times that the mth correlator performs coherent processing on the wireless signal to obtain the maximum incoherent accumulated value in the preset observation times is counted, for example, in one embodiment of the present invention, the method includes a correlator a, a correlator B and a correlator C, and the correlator B is aligned to the ranging code phase center of the input signal in advance, and the preset observation times is assumed to be 100 times. If the number of times of obtaining the maximum incoherent accumulated value by the coherent processing of the wireless signal by the correlator A is 10 times, the number of times of obtaining the maximum incoherent accumulated value by the coherent processing of the wireless signal by the correlator B is 80 times, and the number of times of obtaining the maximum incoherent accumulated value by the coherent processing of the wireless signal by the correlator C is 10 times in 100 continuous observations. The probability distribution of the maximum incoherent accumulated value of the correlator a is 10%, the probability distribution of the maximum incoherent accumulated value of the correlator B is 80%, and the probability distribution of the maximum incoherent accumulated value of the correlator C is 10%.
If the received wireless signal quality is very good, each time the maximum incoherent accumulated value is present in the correlator aligned with the wireless signal ranging code phase center, the probability distribution of the maximum incoherent accumulated value of the final A, B and C correlators will be 0%, 100%, 0%. If the input signal is completely submerged in thermal noise, the correlator B and its neighboring correlators A, C, which are originally aligned with the ranging code phase center, will not exhibit a correlator gain above the noise variance, and eventually the probability distribution of the three correlators A, B and C, which are the largest incoherent accumulation values, will exhibit a uniform distribution approaching 33%, 33%.
And step S106, determining the ranging accuracy of the ranging codes of the wireless signals according to the probability distribution.
Further, the determining the ranging accuracy of the ranging code according to the probability distribution includes:
inquiring a second preset table according to the distribution rate, and acquiring ranging accuracy of ranging codes corresponding to the distribution rate in the second preset table.
The probability distribution of the maximum incoherent accumulated value and the ranging accuracy of the ranging code have a certain corresponding relation, and the probability distribution of different maximum incoherent accumulated values corresponds to different ranging accuracy of the ranging code. The processor acquires the specific corresponding relation between the probability distribution of the maximum incoherent accumulated value obtained through experiments and the ranging precision of the ranging code, writes the corresponding relation between the probability distribution of the maximum incoherent accumulated value and the ranging precision of the ranging code into a second preset table one by one, and when the probability distribution of the maximum incoherent accumulated value is obtained, the ranging precision of the ranging code can be obtained by looking up the second preset table, and the second preset table is stored in the memory.
For example, in one embodiment of the present invention, the ranging accuracy of the ranging code may be divided into 0 to 9, and the probability distribution of the different maximum incoherent accumulated values corresponds to the different ranging accuracy of the ranging code, for example, if the probability distribution of the maximum incoherent accumulated values of the correlators A, B and C is 0%, 100%, 0%, the ranging accuracy of the ranging code corresponding to the distribution ratio may be divided into the highest 9 stages; if the probability distribution of the maximum incoherent accumulated value of the correlators A, B and C is 33%, the ranging accuracy of the ranging code corresponding to the probability distribution of the maximum incoherent accumulated value can be divided into the lowest level 0.
It should be understood that the ranging accuracy of the ranging code may be divided into not only the 0 to 9 representation but also the 0% to 100% representation or other representations. The division of the ranging accuracy of the ranging code in the embodiments of the present invention is only illustrative, and the implementation process of the embodiments of the present invention should not be limited in any way.
Step S107, according to the ranging accuracy of the ranging code, the ranging error compensation of the ranging code of the wireless signal is performed.
After the ranging accuracy of the ranging code is obtained, the ranging accuracy of the ranging code is used as a weight parameter of a position resolving algorithm to participate in position resolving, so that the influence of thermal noise on the ranging accuracy can be reduced, and the positioning coordinate resolved by the position resolving algorithm is more accurate.
It should be noted that, in the embodiment of the present invention, step 101 and step 105 are performed simultaneously.
According to the embodiment of the invention, the probability of the mth correlator is obtained by counting the times of obtaining the maximum incoherent accumulated value by the mth correlator in the preset observation times for carrying out coherent processing on the wireless signals; determining probability distribution of M correlators based on the probability of the mth correlator, and determining ranging code ranging accuracy of the wireless signal according to the probability distribution; and according to the ranging accuracy of the ranging code, performing ranging error compensation of the ranging code of the wireless signal. The distance measurement error compensation can compensate a part of errors in the distance measurement, so that the distance measurement precision can be improved. For example, according to the technical scheme provided by the embodiment of the invention, the distance measurement error caused by thermal noise can be reduced, so that the positioning result of positioning through the wireless communication signal is more accurate, a user can obtain accurate positioning coordinates in a region with weak wireless signal strength, and the experience of the user is improved.
Referring to fig. 10, fig. 10 is a schematic block diagram of a wireless signal processing method provided by the embodiment of the invention, as shown in fig. 10, firstly, a processor inputs an input signal into a correlator to perform correlation operation to obtain coherent accumulated data, then performs incoherent accumulation on the coherent accumulated data to obtain an incoherent accumulated value, then generates an autocorrelation function curve according to the incoherent accumulated value, compares the autocorrelation function curve with a second function curve to obtain a ranging code phase offset and a ranging code ranging precision, uses the ranging code phase offset as a ranging error compensation parameter of a position resolving algorithm, uses the ranging code ranging precision as a weight parameter of the position resolving algorithm, reduces ranging errors caused by multipath interference and thermal noise, and enables a positioning result obtained by positioning a wireless communication signal to be more accurate.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
Referring to fig. 11, fig. 11 is a schematic diagram of a wireless signal processing apparatus according to an embodiment of the present invention, as shown in fig. 11, the apparatus includes: a curve generation module 11, a slope determination module 12, a ranging code phase offset determination module 13 and an error compensation module 14.
A curve generating module 11, configured to generate a first function curve according to the incoherent accumulated value of the wireless signal;
the slope determining module 12 is configured to determine a slope of a line formed by any two adjacent incoherent accumulated values on the first function curve;
a ranging code phase offset determining module 13 for determining a ranging code phase offset of the wireless signal according to the slope;
an error compensation module 14, configured to perform ranging error compensation for the ranging code of the wireless signal according to the ranging code phase offset.
Further, the device further comprises:
the statistics module 15 is configured to count the number of times that the mth correlator performs coherent processing on the wireless signal to obtain a maximum incoherent accumulated value within a preset observation number, and obtain the number of times that the M correlators perform coherent processing on the wireless signal to obtain the maximum incoherent accumulated value, so as to obtain probability distribution of the maximum incoherent accumulated value, where M is a positive integer smaller than M, and M is the total number of correlators;
a ranging code ranging accuracy determining module 16, configured to determine a ranging code ranging accuracy of the wireless signal according to the probability distribution.
The error compensation module 14 is further configured to perform ranging error compensation for the ranging code of the wireless signal according to the ranging accuracy of the ranging code.
Fig. 12 is a schematic diagram of a terminal device according to an embodiment of the present invention. As shown in fig. 12, the terminal device 8 of this embodiment includes: a processor 80, a memory 81 and a computer program 82 stored in the memory 81 and executable on the processor 80. The terminal device further includes: and a correlator 83. The steps of the various method embodiments described above, such as steps 101 through 104 shown in fig. 1, are implemented by the processor 80 when executing the computer program 82. Alternatively, the processor 80, when executing the computer program 82, implements the functions of the modules in the above-described apparatus embodiments, such as the functions of the modules 11 to 14 shown in fig. 11. The correlator performs a correlation operation on the input signal and sends the result of the operation to the processor 80. By way of example, the computer program 82 may be partitioned into one or more modules that are stored in the memory 81 and executed by the processor 80 to perform the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program 82 in the terminal device 8.
The terminal device may include, but is not limited to, a processor 80, a memory 81. It will be appreciated by those skilled in the art that fig. 12 is merely an example of the terminal device 8 and does not constitute a limitation of the terminal device 8, and may include more or less components than illustrated, or may combine certain components, or different components, e.g., the terminal device may further include an input-output device, a network access device, a bus, etc.
The processor 80 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 81 may be an internal storage unit of the terminal device 8, such as a hard disk or a memory of the terminal device 8. The memory 81 may be an external storage device of the terminal device 8, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal device 8. Further, the memory 81 may also include both an internal storage unit and an external storage device of the terminal device 8. The memory 81 is used for storing the computer program as well as other programs and data required by the terminal device. The memory 81 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional modules is illustrated, and in practical application, the above-described functional allocation may be performed by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to perform all or part of the above-described functions. The functional modules in the embodiment may be integrated in one processing module, or each module may exist alone physically, or two or more modules may be integrated in one module, where the integrated modules may be implemented in a form of hardware or a form of software functional modules. In addition, the specific names of the functional modules are only for distinguishing from each other, and are not used for limiting the protection scope of the application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.
The integrated modules, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. . Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (11)
1. A method for processing a wireless signal, comprising:
generating a first function curve according to the incoherent accumulated value of the wireless signal;
determining the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve;
determining a ranging code phase offset of the wireless signal according to the slope;
and compensating the ranging error of the ranging code of the wireless signal according to the phase offset of the ranging code.
2. The method of claim 1, wherein said determining a ranging code phase offset from a slope of the wireless signal comprises:
Subtracting the slope of a straight line formed by any two adjacent incoherent accumulated values on the second function curve from the slope of the straight line formed by any two adjacent incoherent accumulated values to obtain a slope deviation value;
inquiring a first preset table according to the slope deviation value, and acquiring the ranging code phase offset corresponding to the slope deviation value in the first preset table.
3. The method of claim 1, wherein prior to generating the first function curve from the incoherent accumulated value of the wireless signal, further comprising:
inputting the wireless signals into a correlator to perform correlation operation to obtain coherent accumulated data;
and performing incoherent accumulation on the coherent accumulation data to obtain an incoherent accumulation value.
4. The method of claim 3 wherein said non-coherently accumulating said coherently accumulated data to obtain said non-coherently accumulated value further comprises:
subtracting the incoherent accumulated value from the ideal incoherent accumulated value to obtain an offset value;
counting the times that the deviation value is larger than a preset threshold value in preset time;
judging whether the times are larger than preset times or not;
and if the times are greater than or equal to the preset times, generating a first function curve according to the incoherent accumulated value of the wireless signal.
5. The method of claim 4, wherein after determining whether the number of times is greater than a preset number of times, further comprising:
and if the frequency is smaller than the preset frequency, inputting the wireless signal into a correlator to perform correlation operation to obtain the coherent accumulation data.
6. The method of claim 1, wherein the method further comprises:
counting the number of times of obtaining the maximum incoherent accumulated value by the mth correlator in the preset observation times for the coherent processing of the wireless signal, and obtaining the probability of the mth correlator;
determining probability distribution of M correlators based on the probability of the mth correlator;
wherein M is a positive integer less than or equal to M, and M is the total number of the correlators;
determining the ranging accuracy of the ranging codes of the wireless signals according to the probability distribution;
and according to the ranging accuracy of the ranging code, performing ranging error compensation of the ranging code of the wireless signal.
7. The method of claim 6, wherein the determining ranging code ranging accuracy of the wireless signal based on the probability distribution comprises:
inquiring a second preset table according to the probability distribution, and acquiring ranging accuracy of ranging codes corresponding to the probability distribution in the second preset table.
8. A wireless signal processing apparatus, comprising:
the curve generation module is used for generating a first function curve according to the incoherent accumulated value of the wireless signal;
the slope determining module is used for determining the slope of a straight line formed by any two adjacent incoherent accumulated values on the first function curve;
a ranging code phase offset determining module for determining a ranging code phase offset of the wireless signal according to the slope;
and the error compensation module is used for compensating the ranging error of the ranging code of the wireless signal according to the phase offset of the ranging code.
9. The apparatus of claim 8, wherein the apparatus further comprises:
the statistics module is used for counting the times of obtaining the maximum incoherent accumulated value by the mth correlator on the coherent processing of the wireless signal in the preset observation times, and obtaining the probability of the mth correlator; determining probability distribution of M correlators based on the probability of the mth correlator, wherein M is a positive integer smaller than M, and M is the total number of the correlators;
and the ranging code ranging precision determining module is used for determining the ranging code ranging precision of the wireless signal according to the probability distribution.
10. A terminal comprising a processor, a correlator, an input device, an output device and a memory, the processor, correlator, input device, output device and memory being interconnected, wherein the memory is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-7.
11. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-7.
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