Signal transmission apparatus and method with resampling mechanism

Abstract

The application provides a signal transmission method with a resampling mechanism, comprising: obtaining sampling data of a data signal; calculating a time difference between an actual sampling time point and an ideal sampling time point corresponding to target sampling data according to operating frequencies of a signal sending end and a signal receiving end; selecting a preset time point closest to the ideal sampling time point from preset time points in a sampling interval according to the time difference; selecting a plurality of groups of operation sampling data within a preset range before and after the target sampling data in the sampling data; selecting a group of response items from a pre-stored query table according to the closest preset time point, so that the response items and the time difference are substituted into a parameter operation formula to generate resampling response parameters; and calculating corresponding to the operation sampling data and the resampling response parameters to generate a resampling value of the target sampling data.

Description

TECHNICAL FIELD

[0001] The present application relates to signal transmission technology, and in particular to a signal transmission device and method with a re-sampling mechanism. BACKGROUND

[0002] In wireless communication technology, whether the data transmitted by a transmitting end can be correctly received by a receiving end depends on the sampling rate of the receiving end. However, due to the difference between the oscillators of the receiving end and the transmitting end, the phenomenon of sampling rate offset often occurs.

[0003] The frequency offset not only causes the deviation of data size, but also causes inter-carrier interference (ICI) in a communication system such as, but not limited to, orthogonal frequency division multiplexing (OFDM). Such a condition will be more serious under high data rate communication transmission. How to obtain the correct data signal at the correct time point according to the re-sampling technology is a very important issue. SUMMARY

[0004] In view of the problems of the prior art, one of the purposes of the present application is to provide a signal transmission device and method with a re-sampling mechanism to improve the prior art.

[0005] The present application includes a signal transmission method with a re-sampling mechanism, applied to a signal transmission device, the signal transmission method comprising: obtaining a plurality of sets of sampling data of a data signal, wherein the data signal is configured to be transmitted from a signal transmitting end to a signal receiving end; calculating a time difference between an actual sampling time point and an ideal sampling time point corresponding to target sampling data in the sampling data according to the operating frequencies of the signal transmitting end and the signal receiving end; selecting a preset time point closest to the ideal sampling time point from a plurality of preset time points in a sampling interval defined by the operating frequency of the signal receiving end according to the time difference; selecting a plurality of sets of operation sampling data within a preset range before and after the target sampling data in the sampling data; selecting a set of response items from a pre-stored query table according to the closest preset time point, so that the set of response items and the time difference are substituted into a parameter operation formula to generate a set of re-sampling response parameters; and calculating corresponding to the operation sampling data and the set of re-sampling response parameters to generate a re-sampling value of the target sampling data.

[0006] The application also includes a signal transmission device with a resampling mechanism, comprising a storage circuit and a processing circuit. The storage circuit is configured to store computer executable instructions. The processing circuit is configured to select the computer executable instructions from the storage circuit to execute a signal transmission method. The signal transmission method comprises: obtaining multiple sets of sampling data of a data signal, wherein the data signal is configured to be transmitted from a signal sending end to a signal receiving end; calculating a time difference between an actual sampling time point and an ideal sampling time point corresponding to target sampling data in the sampling data according to operating frequencies of the signal sending end and the signal receiving end; selecting a preset time point closest to the ideal sampling time point from multiple preset time points in a sampling interval defined by the operating frequency of the signal receiving end according to the time difference; selecting multiple sets of operation sampling data within a preset range before and after the target sampling data in the sampling data; selecting a set of response items from a pre-stored query table according to the closest preset time point, so that the set of response items and the time difference are substituted into a parameter operation formula to generate a set of resampling response parameters; and calculating corresponding to the operation sampling data and the set of resampling response parameters to generate a resampling value of the target sampling data.

[0007] The features, implementations and effects of the application will be described in detail below with reference to the preferred embodiments and the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0008] Figure 1 A module diagram of a signal transmission device with a resampling mechanism and external devices in an embodiment of the application is shown;

[0009] Figure 2 A flowchart of a signal transmission method with a resampling mechanism in an embodiment of the application is shown;

[0010] Figure 3 A schematic diagram of a data signal in an embodiment of the application is shown;

[0011] Figure 4 An amplified schematic diagram of a data signal in an embodiment of the application is shown; and

[0012] Figure 5 A module diagram of a signal transmission device with a resampling mechanism and external devices in another embodiment of the application is shown.

[0013] REFERENCE SIGNS:

[0014] 100 - signal transmission device 110 - communication circuit 120 - storage circuit

[0015] 125 - computer executable instructions 130 - processing circuit 135 - pre-stored query table

[0016] Let

[0017] 150 - external device 200 - signal transmission method S210 ~ S260 - steps

[0018] 300 - analog waveform DA - data signal DAR - resampled data signal

[0019] DT - time length y(N-M+1) ~ y(N) - sampled data y(μ) - ideal sampled data

[0020] μ0 ~ μ 10 - preset time point DETAILED DESCRIPTION

[0021] One of the objectives of the present application is to provide a signal transmission device and method with a resampling mechanism, according to the time difference between the actual sampling time point and the ideal sampling time point, to quickly select the corresponding response item from the pre-stored query table and to calculate the resampling response parameter, and then to calculate the resampling corresponding to the calculation sampling data located in the adjacent range of the target sampling data, thereby greatly reducing the calculation amount and the calculation complexity.

[0022] Please refer to Figure 1 . Figure 1 A block diagram of a signal transmission device 100 with a resampling mechanism and an external device 150 in an embodiment of the present application is shown.

[0023] The signal transmission device 100 is configured to communicate with the external device 150 to transmit the data signal DA. The signal transmission device 100 includes a communication circuit 110, a storage circuit 120, and a processing circuit 130.

[0024] The communication circuit 110 can be any circuit configured to communicate with the external device 150 through wireless or wired communication technology. In an embodiment, the external device 150 operates as a signal sending end, and the signal transmission device 100 operates as a signal receiving end. Therefore, the data signal DA is received by the processing circuit 130 from the external device 150 through the communication circuit 110.

[0025] The storage circuit 120 can be any storage device configured to store data, such as, but not limited to, a random access memory (RAM), a read only memory (ROM), or a hard disk. It should be noted that the storage circuit 120 can include only a single storage device as described above, or include multiple storage devices as described above to store different types of data in different embodiments. In an embodiment, the storage circuit 120 is configured to store computer executable instructions 125.

[0026] The processing circuit 130 is electrically coupled to the communication circuit 110 and the storage circuit 120. In an embodiment, the processing circuit 130 is configured to select and execute computer-executable instructions 125 from the storage circuit 120. The computer-executable instructions 125 include, for example, but are not limited to, firmware / driver and related instructions of hardware modules such as the communication circuit 110 and the storage circuit 120 to access signals or data of the communication circuit 110 and the storage circuit 120 for operation, to perform the functions of the signal transmission device 100.

[0027] The operation of the signal transmission device 100 will be described below in conjunction with Figure 2 .

[0028] Figure 2 A flowchart of a signal transmission method 200 with a resampling mechanism is shown in an embodiment of the present application. The signal transmission method 200 is applied to, for example, but not limited to, the signal transmission device 100. Figure 1 An embodiment of the signal transmission method 200 includes the following steps, as shown in Figure 2 .

[0029] In step S210, a plurality of sets of sampling data of a data signal DA are obtained, wherein the data signal DA is configured to be transmitted from a signal sending end to a signal receiving end. In the present embodiment, the data signal DA is received by the processing circuit 130 from the external device 150 through the communication circuit 110.

[0030] In step S220, a time difference between an actual sampling time point and an ideal sampling time point corresponding to target sampling data in the sampling data is calculated according to the operating frequencies of the signal sending end and the signal receiving end.

[0031] Please refer to Figure 3 . Figure 3 A schematic diagram of the data signal DA is shown in an embodiment of the present application. In the diagram, the vertical axis represents signal size, and the horizontal axis represents time.

[0032] Figure 3 When the data signal DA is presented in an analog form, it corresponds to an analog waveform 300. When there is a difference in operating frequencies between the signal sending end and the signal receiving end, sampling of the analog waveform 300 by the signal receiving end will generate a plurality of actual sampling points shown as black dots. In the present embodiment, only the actual sampling points corresponding to time points N-M+1 to N are shown. Figure 3

[0033] ​The time length between each actual sampling point, such as the time length between time point 0 and 1, is the sampling interval defined by the operating frequency of the signal receiving end. The actual value of the sampling interval is the inverse of the operating frequency, which is normalized to 1. Each actual sampling point corresponding to time point N-M+1 to N has sampling data y(N-M+1) to y(N).

[0034] On the other hand, under the ideal condition that the operating frequencies of the signal sending end and the signal receiving end are equal, the signal receiving end sampling the analog waveform 300 will generate a plurality of ideal sampling points shown by white dots. In Figure 3 is an exemplary ideal sampling point corresponding to a time point μ. This ideal sampling point is located between time point 0 and 1, and has ideal sampling data y(μ). Here, μ is a fractional value between 0 and 1.

[0035] In this embodiment, the target sampling data is exemplified by sampling data y(0). This target sampling data y(0) has an actual sampling time point of time point 0, and its corresponding ideal sampling data y(μ) has an ideal sampling time point of time point μ.

[0036] For the signal receiving end, the operating frequencies of the signal sending end and the signal receiving end are both known. Therefore, the processing circuit 130 can calculate the value of the time difference μ between the actual sampling time point 0 and the ideal sampling time point μ according to the operating frequencies. Since the sampling interval between the actual sampling points is normalized to 1, this time difference μ is the fractional delay of the ideal sampling data y(μ) relative to the sampling data y(0).

[0037] In step S230, according to the time difference, among a plurality of preset time points in the sampling interval defined by the operating frequency of the signal receiving end, the preset time point closest to the ideal sampling time point is selected.

[0038] Please refer to Figure 4 . Figure 4 An amplification diagram of the data signal DA in an embodiment of the present application is shown.

[0039] Figure 4 The amplification diagram of the data signal DA corresponding to time point 0 to 1 is mainly shown, in which time point 0 and 1 correspond to sampling data y(0) and sampling data y(1), respectively. In the sampling interval between time point 0 and 1, a plurality of preset time points μ0 to μ 10 It should be noted that the number of preset time points and the time length between each two preset time points can be different according to the required accuracy, and is not limited by the number described in this embodiment.

[0040] Therefore, the processing circuit 130 can select the preset time point μ that is closest to the ideal sampling time point μ based on the time difference μ. tab For example, when the time difference μ is 0.56, the processing circuit can select a preset time point μ6 with a value of 0.6 as the closest time point μ. tab .

[0041] In step S240, multiple sets of operational sampling data within a preset range before and after the target sampling data are selected from the sampling data.

[0042] In this embodiment, since the target sampling data is sampling data y(0), the processing circuit 130 can use time points N-M+1 to N as a preset range and select sampling data y(N-M+1) to y(N) as the operation sampling data. Here, M and N are positive integers. M represents the total number of sampling data to be selected, and N represents the number of sampling data that are selected after the time point of the target sampling data. For example, when M is 6 and N is 2, the processing circuit 130 uses time points -3 to 2 as a preset range and selects sampling data y(-3) to y(2) as the operation sampling data.

[0043] In step S250, a set of response items is selected from the pre-stored lookup table based on the closest preset time point, and the set of response items and the time difference are substituted into the parameter calculation formula to generate a set of resampled response parameters.

[0044] In one embodiment, Figure 1 The storage circuit 120 or other storage devices included in the signal transmission device 100 may store a pre-stored lookup table 135. The processing circuit 130 may, for example, store the nearest time point μ6 to a preset time point μ6. tab Select a set of response items cv from the pre-stored lookup table 135 i (μ tab In one embodiment, the response item cv i (μ tab ) is a vector, and can be represented by the following formula:

[0045]

[0046] Regarding the response item cv i (μ tab The parameters in the description will be explained when constructing the pre-stored lookup table 135. The processing circuit 130 will select the response item cv. i (μ tab After that, the time difference μ is substituted into the parameter calculation formula to generate the resampled response parameter hvr. μ Resample response parameters hvr μis also a vector and can be expressed by the following equation:

[0047]

[0048] In step S260, a re-sampling value of the target sampling data is generated according to the corresponding calculation of the sampling data and the set of re-sampling response parameters. Thus, the data signal DAR after re-sampling by the processing circuit 130 will include the re-sampling value.

[0049] In an embodiment, the processing circuit 130 generates the re-sampling value yr(μ) of the target sampling data according to the corresponding calculation of the sampling data y(N-M+1)~y(N) as the operation sampling data and the set of re-sampling response parameters hvr μ In an embodiment, the processing circuit 130 generates the re-sampling value yr(μ) of the target sampling data according to the corresponding calculation of the sampling data y(N-M+1)~y(N) as the operation sampling data and the set of re-sampling response parameters hvr

[0050]

[0051] wherein hr μ (-n) is the set of re-sampling response parameters hvr μ comprises each individual parameter.

[0052] In an embodiment, when the sampling data y(N-M+1)~y(N) as the operation sampling data and a set of actual response parameters hv μ corresponding calculation, the generated calculation result will have the smallest difference with the ideal sampling value of the target sampling data (i.e. the value of the ideal sampling data y(μ)). However, since the time difference μ is a decimal number and has many possibilities with the accuracy, there are 101 possible values when the time difference μ is a decimal number with two digits, which makes the possible values of the actual response parameters hv μ corresponding increase, which also increases the operation complexity. Thus, the set of actual response parameters hv μ can be approximated according to a predetermined polynomial to generate the set of response terms cv i (μ tab ) to avoid too high operation complexity caused by too many possible values of the time difference μ.

[0053] The construction of the pre-stored lookup table 135 including the response terms cv i (μ tab ) will be described below.

[0054] As described above, the value of the ideal sampling data y(μ) can be generated according to the corresponding calculation of the sampling data y(N-M+1)~y(N) and a set of actual response parameters hv μ and can be expressed by the following equation:

[0055]

[0056] where h μ is the set of actual response parameters hv μ including each parameter. The set of actual response parameters hv μ may be expressed by the following equation:

[0057]

[0058] To make this frequency response close to the ideal frequency response e jωμ , the following error function E(μ) needs to be minimized:

[0059]

[0060] where B is a predetermined parameter between 0 and 1. The actual response parameters hv μ may be minimized by the following equation:

[0061]

[0062] where A M is an M x M matrix, and the (l, k)th element is:

[0063]

[0064] (A M ) l,k = Bπ for l = k (Equation 9)

[0065] sv M (μ) is an M-length vector and can be expressed by the following equation:

[0066] sv M (μ) = [S -N (μ) S -N+1 (μ)... S M-N-1 (μ)] T (Equation 10)

[0067] where m is -N ~ M-N-1 (Equation 11)

[0068] Among the above parameters, A M is independent of the fractional delay, so each element of A may be calculated in advance without real-time operation. On the other hand, the predetermined parameter B is known. Therefore, the actual response parameters hv μ are the only variable, and its operation requires division in Equation (11), which is difficult in actual operation.

[0069] To simplify the process, multiple preset time points can be set within the normalized sampling interval, and calculations can be performed based on these preset time points. A pre-stored lookup table 135 is then established based on the calculation results. The processing circuit 130 can find the preset time point closest to the ideal sampling time point based on the time difference μ, and directly look up the table to significantly save real-time computation time and computational costs.

[0070] More specifically, in one embodiment, the preset time point is a set including, for example, but not limited to, 0, 0.1, 0.2, ..., 0.9, 1.0, and one of the preset time points will be the closest time point μ to the time difference μ. tab The actual response parameter hv in Equation 7 above. μ The resampled response parameter hvr can be expressed in polynomial form as a K-th term in Equation 2. μ Approaching, and expressed as follows:

[0071]

[0072] In one embodiment, the vector sv in (Equation 2) M (μ) can be approximated by, for example but not limited to, Taylor's expansion, and is expressed by the following two equations:

[0073]

[0074]

[0075] In (Equation 14), (m is -N to MN-1) represents s m (μ) at the closest time point μ tab The nth derivative. Therefore, according to the derivation process of Equations (7) to (14) above, the response term cv i (μ tab The result can be represented by (Equation 1) and stored in the pre-stored lookup table 135 after pre-calculation.

[0076] Therefore, the processing circuit 130 can be based on Figure 2 In steps S250 and S260, the closest time point μ is used as the basis for the first step. tab Select the response item cv in this group i (μ tab Then, the resampled response parameter hvr is generated according to equation (2). μ Then, based on the calculated sampled data y(N-M+1)~y(N) and the resampled response parameters hvr of that group... μ The corresponding calculation is performed to generate a resampled value yr(μ) of the target sampled data.

[0077] It should be noted that the above-described construction method of the pre-stored lookup table 135 is only an example. In other embodiments, the pre-stored lookup table 135 may be constructed based on other error functions, other polynomials for approximation, and other preset time points set in the sampling interval, and is not limited to the above-described implementation.

[0078] Please refer to Figure 5 . Figure 5 A block diagram of a signal transmission device 100 with a resampling mechanism and an external device 150 is shown in another embodiment of the present invention.

[0079] Similar to Figure 1 The signal transmission device 100 in the middle, Figure 5 The signal transmission device 100 is configured to communicate with the external device 150 to transmit data signal DA, and includes a communication circuit 110, a storage circuit 120, and a processing circuit 130. However, in this embodiment, the external device 150 operates as a signal receiver, and the signal transmission device 100 operates as a signal transmitter.

[0080] In this embodiment, the signal transmission device 100, which functions as a signal transmitter, can also perform this function. Figure 2 The signal transmission method 200 with a resampling mechanism, as shown, uses a processing circuit 130 to resample the data signal DA to generate a resampled value of the target sampled data. The resampled data signal DAR includes the resampled value and is transmitted to an external device 150 via a communication circuit 110. In this case, since the signal transmission device 100 has already performed resampling, the external device 150 can directly receive the resampled data signal DAR without needing to perform resampling again.

[0081] It should be noted that the above-described implementation is merely an example. In other embodiments, those skilled in the art should make modifications without departing from the spirit of the invention.

[0082] In summary, the signal transmission device and method with resampling mechanism in this invention can quickly select the corresponding response item from the pre-stored lookup table based on the time difference between the actual sampling time point and the ideal sampling time point, and generate resampling response parameters accordingly. Then, it can perform resampling calculations with the computational sampling data located in the vicinity of the target sampling data, which greatly reduces the amount of computation and computational complexity.

[0083] Although the embodiments of the present application have been described above, these embodiments are not intended to limit the present application, and those skilled in the art can make various changes to the technical features of the present application according to the explicit or implicit contents of the present application, and these various changes can all belong to the scope of patent protection sought by the present application. In other words, the scope of patent protection of the present application should be defined according to the claims.

Claims

1. A signal transmission method with a resampling mechanism, applied in a signal transmission device, the signal transmission method comprising: Acquire multiple sets of sampled data of a data signal, wherein the data signal is configured to be transmitted from a signal transmitter to a signal receiver; Based on the operating frequency of each of the signal transmitting end and the signal receiving end, calculate the time difference between an actual sampling time point and an ideal sampling time point corresponding to a target sampling data in the sampling data. Based on the time difference, among a plurality of preset time points in a sampling interval defined by the operating frequency at the signal receiving end, the preset time point closest to the ideal sampling time point is selected. Select multiple sets of operational sampling data within a preset range before and after the target sampling data from the sampling data; Based on the closest preset time point, a set of response items is selected from a pre-stored lookup table, and the set of response items and the time difference are substituted into a parameter calculation formula to generate a set of resampled response parameters. as well as A resampled value of the target sampled data is generated by calculating the corresponding resampled response parameters based on the operational sampled data and the group.

2. The signal transmission method according to claim 1, characterized in that, It also includes enabling the signal transmission device to function as the signal receiver to receive the data signal from an external device via a communication circuit, wherein the resampled data signal includes the resampled value.

3. The signal transmission method according to claim 1, characterized in that, It also includes enabling the signal transmission device to function as the signal transmitter, wherein the resampled data signal includes the resampled value, so as to transmit the resampled data signal to an external device via a communication circuit.

4. The signal transmission method according to claim 1, characterized in that, The calculation result calculated by the computational sampling data and a set of actual response parameters has a minimum difference with an ideal sampling value of the target sampling data, and the set of response terms is generated by the set of actual response parameters according to a preset polynomial.

5. The signal transmission method according to claim 4, characterized in that, The actual response parameters of the group are: It can be expressed as the product of an inverse matrix and a vector. ,in Let be an M×M matrix, and let the (l, k)th element be: for , for , And at the closest preset time point is At that time, due to The group response item and for The time difference approaches the group of resampled response parameters. , Polynomial approximation by the Kth term, The pre-stored query table stores the group response items as follows: , in ,and express At the closest preset time point The nth derivative of the differential, m is -N to MN-1. The time difference is M and N, which are positive integers. M is the total number of the multiple sets of sampled data to be selected within the preset range before and after the target sampled data, and N represents the number of sampled data to be selected from the multiple sets of sampled data after the time point of the target sampled data.

6. A signal transmission device with a resampling mechanism, comprising: A storage circuit configured to store a computer-executable instruction; as well as A processing circuit configured to select computer-executable instructions from the storage circuit, the processing circuit being configured to: Acquire multiple sets of sampled data of a data signal, wherein the data signal is configured to be transmitted from a signal transmitter to a signal receiver; Based on the operating frequency of each of the signal transmitting end and the signal receiving end, calculate the time difference between an actual sampling time point and an ideal sampling time point corresponding to a target sampling data in the sampling data. Based on the time difference, among a plurality of preset time points in a sampling interval defined by the operating frequency at the signal receiving end, the preset time point closest to the ideal sampling time point is selected. Select multiple sets of operational sampling data within a preset range before and after the target sampling data from the sampling data; Based on the closest preset time point, a set of response items is selected from a pre-stored lookup table. The set of response items and the time difference are then substituted into a parameter calculation formula to generate a set of resampled response parameters. as well as A resampled value of the target sampled data is generated by calculating the corresponding resampled response parameters based on the operational sampled data and the group.

7. The signal transmission device according to claim 6, characterized in that, The processing circuit is further configured to operate the signal transmission device as the signal receiver to receive the data signal from an external device via a communication circuit, wherein the resampled data signal includes the resampled value.

8. The signal transmission device according to claim 6, characterized in that, The processing circuit is further configured to operate the signal transmission device as the signal transmitter, wherein the resampled data signal includes the resampled value, and the resampled data signal is transmitted to an external device via a communication circuit.

9. The signal transmission device according to claim 6, characterized in that, The calculation result calculated by the computational sampling data and a set of actual response parameters has a minimum difference with an ideal sampling value of the target sampling data, and the set of response terms is generated by the set of actual response parameters according to a preset polynomial.

10. The signal transmission device according to claim 9, characterized in that, The actual response parameters of the group are: It can be expressed as the product of an inverse matrix and a vector. ,in Let be an M×M matrix, and let the (l,k)th element be: for , for , And at the closest preset time point is At that time, due to The group response item and for The time difference approaches the group of resampled response parameters. , Polynomial approximation by the Kth term, The pre-stored query table stores the group response items as follows: , in ,and express At the closest preset time point The nth derivative of the differential, m is -N to MN-1. The time difference is M and N, which are positive integers. M is the total number of the multiple sets of sampled data to be selected within the preset range before and after the target sampled data, and N represents the number of sampled data to be selected from the multiple sets of sampled data after the time point of the target sampled data.

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