Weak current communication method and system based on time diversity

Abstract

The invention discloses a weak current communication method and system based on time diversity. The time diversity-based weak current communication method comprises the following steps of: segmenting an original signal to obtain a plurality of subframe signals; based on a time diversity technology, transmitting the plurality of subframe signals at different time points respectively; receiving a plurality of the subframe signals; and performing sub-frame combination on the plurality of received sub-frame signals so as to recover the original signal. In the weak current communication method based on time diversity, after the original signal is segmented to obtain the plurality of sub-frame signals, the plurality of sub-frame signals are transmitted at different time points based on the time diversity technology, so that the anti-interference capability of the signals can be effectively improved, and the signal transmission quality can be improved; therefore, the problem of signal transmission quality is solved.

Description

Technical Field

[0001] The present application relates to the field of weak current communication technology, and in particular to a weak current communication method and system based on time diversity. Background Art

[0002] In the current weak current communication system, signal transmission is easily affected by external interference, resulting in reduced signal quality and communication reliability. This problem is particularly prominent in areas with severe signal attenuation and limited signal coverage. Although signal amplification and forwarding can enhance signal coverage, this method has weak resistance to interference and still cannot solve the impact of interference on signal quality and communication reliability. Summary of the invention

[0003] The present application aims to overcome the defects of the above-mentioned prior art and provide a weak current communication method and system based on time diversity, which can effectively improve the anti-interference ability of the signal and improve the signal transmission quality, thereby solving the problem of signal transmission quality.

[0004] In a first aspect, the present application provides a weak current communication method, comprising:

[0005] The original signal is divided to obtain a plurality of sub-frame signals;

[0006] Based on the time diversity technology, the plurality of subframe signals are transmitted at different time points respectively;

[0007] receiving a plurality of subframe signals;

[0008] The received multiple subframe signals are subframe-merged to restore the original signal.

[0009] Optionally, before dividing the original signal to obtain a plurality of subframe signals, the method further includes:

[0010] The original signal is preprocessed to suppress interference of the original signal.

[0011] Optionally, the preprocessing of the original signal includes:

[0012] The original signal is preprocessed based on at least one of an adaptive filter and a blind source separation technology.

[0013] Optionally, the receiving a plurality of subframe signals comprises:

[0014] The receiving end is provided with a plurality of receiving devices, and the plurality of receiving devices receive different subframe signals at different time points respectively.

[0015] Optionally, the received multiple subframe signals are subframe merged based on a maximum likelihood estimation algorithm to restore the original signal.

[0016] Optionally, the step of performing subframe merging on the received multiple subframe signals based on a maximum likelihood estimation algorithm to restore the original signal includes:

[0017] Obtaining the best matching weight between each of the subframe signals and the original signal based on the maximum likelihood estimation algorithm;

[0018] Weighted combination is performed based on each of the sub-frame signals and the most matching weight of each of the sub-frame signals to restore the original signal.

[0019] In a second aspect, the present application also provides a weak current communication system based on time diversity, comprising:

[0020] A segmentation device, used for segmenting the original signal to obtain a plurality of sub-frame signals;

[0021] A transmitting device, used for transmitting the plurality of subframe signals at different time points based on a time diversity technology;

[0022] A receiving device, used for receiving a plurality of said subframe signals;

[0023] The subframe merging device is used to perform subframe merging on the received multiple subframe signals to restore the original signal.

[0024] Optionally, the time diversity-based weak current communication system further includes:

[0025] The preprocessing device is used to preprocess the original signal to suppress interference of the original signal.

[0026] Optionally, the preprocessing device includes an adaptive filter or a blind source separation device; and the subframe merging device includes a maximum likelihood estimation algorithm module.

[0027] Optionally, there are multiple receiving devices, and the multiple receiving devices receive different subframe signals at different time points respectively.

[0028] The time-diversity-based weak-current communication method and system of the present application have the following beneficial effects: in the time-diversity-based weak-current communication method of the present application, after the original signal is divided into multiple subframe signals, the multiple subframe signals are transmitted at different time points based on the time diversity technology, which can effectively improve the anti-interference ability of the signal and improve the signal transmission quality, thereby solving the problem of signal transmission quality.

[0029] In order to make the above features and advantages of the invention more obvious and easy to understand, embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or related technologies, the drawings required for use in the embodiments or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 This is a flow chart of a weak current communication method based on time diversity provided in one embodiment of the present application.

[0032] Figure 2 This is a module intention of a weak current communication system based on time diversity provided in another embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to make the purpose and technical solution of the embodiment of the present application clearer, the technical solution of the embodiment of the present application will be clearly and completely described in conjunction with the drawings of the embodiment of the present application. Obviously, the described embodiment is a part of the embodiment of the present application, not all of the embodiments. Based on the described embodiment of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0034] In one embodiment, see Figure 1 The present application provides a weak current communication method based on time diversity, and the weak current communication method based on time diversity may include the following steps: S11 to S14.

[0035] Step S11: Segment the original signal to obtain a plurality of sub-frame signals.

[0036] Step S12: Based on the time diversity technology, the plurality of sub-frame signals are transmitted at different time points.

[0037] Step S13: receiving a plurality of sub-frame signals.

[0038] Step S14: performing sub-frame merging on the received multiple sub-frame signals to restore the original signal.

[0039] In the weak current communication method based on time diversity of the present application, after the original signal is divided into multiple subframe signals, the multiple subframe signals are transmitted at different time points based on the time diversity technology. Even if the subframe signal at a certain time point is interfered, it will not affect other subframe signals. The anti-interference ability of the signal can be effectively improved, and the signal transmission quality can be improved, thereby solving the problem of signal transmission quality.

[0040] In step S11, refer to Figure 1 In step S11, the original signal is divided to obtain multiple sub-frame signals.

[0041] As an example, each subframe signal obtained after segmentation contains the complete information content of the original signal. Specifically, signal segmentation allows attention to the local characteristics of the signal, and each subframe signal represents the characteristics of the signal in a specific time period, which may be stable or change significantly. Through the segmentation method, each of the subframe signals can be made as independent as possible, so that each of the subframe signals can be considered to contain enough information to describe the signal characteristics within the time period. If the original signal is continuous and has a clear structure (for example, phonemes in a speech signal), appropriate segmentation can ensure that the boundaries of each subframe signal will not cut off these structures, so that each of the subframe signals can represent a complete information unit.

[0042] The original signal is segmented to obtain a plurality of subframe signals which can be effectively processed and analyzed while maintaining the integrity of the information content.

[0043] In one example, the original signal may be divided into a plurality of subframe signals at the transmitting end, for example, the original signal may be divided into subframe signal A, subframe signal B, and subframe signal C. Such division may be based on a time series and ensure that each of the subframe signals can independently represent the entire signal.

[0044] As an example, before step S11, the following steps may also be included:

[0045] S10: preprocessing the original signal to suppress interference on the original signal. Interference suppression can suppress interference factors in the original signal, improve signal quality, and effectively reduce the impact of interference on the original signal.

[0046] As an example, the original signal may be preprocessed based on at least one of an adaptive filter or a blind source separation technique.

[0047] Specifically, the adaptive filter is a filter that can dynamically adjust parameters to adapt to changes and interference environments.

[0048] As an example, preprocessing the original signal based on the adaptive filter may include the following steps: identifying interference components in the original signal; based on the interference components, the adaptive filter adjusts internal parameters to minimize the impact of the interference components on the original signal.

[0049] Specifically, the adaptive filter can adjust the internal function based on the following formula:

[0050]

[0051] in, represents the filter parameter estimate at time n; h(n-1) represents the filter parameter at the previous time; μ represents the step size parameter, which controls the update speed of the filter parameters; e(n) represents the error signal at time n; x(n) represents the original signal input at time n.

[0052] In one example, the adaptive filter adjuster internal parameters may include the following steps: initializing the filter parameters of the adaptive filter; calculating the error signal e(n) based on the original signal; e(n) = expected signal - actual signal. (n) represents the discrete time index of the original signal; the expected signal is the original signal that is expected to be obtained, and the actual signal is the original signal that is actually generated; the difference between the two is the error signal e(n); updating the filter parameters of the adaptive filter

[0053] As an example, the blind source separation (BBS) technique can separate individual source signals in a mixed signal without prior knowledge.

[0054] As an example, preprocessing the original signal based on the blind source separation technology may include the following steps: whitening the original signal to facilitate subsequent separation operations; applying BBS technology, such as independent component analysis (ICA), to separate the original signal and the interference signal in the original signal.

[0055] Specifically, the original signal is whitened to ensure that the original signal meets the requirements of the BBS algorithm; the ICA algorithm or other BBS algorithm is used to estimate the mixing matrix A; the inverse matrix A of the estimated mixing matrix is ​​used -1 Separate the original signal from the interference signal. The separated original signal is used for subsequent transmission processing, and the separated interference signal is suppressed or ignored.

[0056] In practical applications, the generated original signal includes a variety of interferences, such as electromagnetic interference or noise, etc. The adaptive filter can adjust the filter parameters in real time to adapt to the changing interference environment; combined with BSS technology, the interference signal and the original signal can be further separated to ensure the purity of signal transmission. Through the application of the above-mentioned adaptive filter and BBS technology, interference can be effectively reduced and the clarity and transmission quality of the signal can be improved.

[0057] In step S12, refer to Figure 1 In step S12, based on the time diversity technology, the multiple subframe signals are transmitted at different time points.

[0058] As an example, taking the multiple subframe signals including subframe signal A, subframe signal B and subframe signal C as an example, time diversity can be used to transmit subframe signal A at time point t1, subframe signal B at time point t2, and subframe signal C at time point t3. With such an arrangement, even if the subframe signal is interfered at a certain time point, the subframe signals at other time points can still be normally transmitted and successfully received. This time-dispersed transmission makes the signal have better anti-interference performance during transmission, thereby improving the robustness of the entire weak current communication.

[0059] In step S13, refer to Figure 1 In step S13, a plurality of subframe signals are received.

[0060] As an example, a receiving end may be provided with a plurality of receiving devices, and the plurality of receiving devices receive different subframe signals at different time points respectively.

[0061] As an example, the multiple receiving devices may include multiple antennas or multiple receiving modules. By arranging multiple receiving modules to receive multiple subframe signals respectively, multipath reception can be achieved, reception efficiency is improved, and the risk of signal loss is reduced.

[0062] In one example, taking the multiple subframe signals including subframe signal A, subframe signal B and subframe signal C as an example, the multiple receiving devices work independently and synchronously so as to accurately receive the corresponding subframe signals at a predetermined time point. For example, the first receiving device can receive subframe signal A at time point t1, the second receiving device can receive subframe signal B at time point t2, and the third receiving device can receive subframe signal C at time point t3.

[0063] As an example, the number of the receiving devices can be designed according to actual needs to ensure that all subframe signals can be received. For example, the number of the receiving devices can be the same as the number of the subframe signals to ensure that the subframe signals can be received one by one.

[0064] As an example, the receiving time preset by the receiving device matches the time diversity transmission strategy of the transmitting device at the transmitting end. Each of the received subframe signals is recorded and stored to facilitate subsequent subframe merging.

[0065] In this way, even if signal attenuation or interference occurs on some paths, signals on other paths can still be successfully received, thereby improving the reliability and stability of the entire weak current communication. This multi-path reception method provides high-quality input signals for subsequent subframe merging.

[0066] In step S14, refer to Figure 1 In step S14, the received multiple subframe signals are subframe-merged to restore the original signal.

[0067] As an example, after receiving each of the subframe signals, it is necessary to effectively merge the subframe signals; in order to achieve the best merging effect, the received multiple subframe signals can be subframe merged based on the maximum likelihood estimation (MLE) algorithm to restore the original signal. The maximum likelihood estimation algorithm can estimate the most likely original signal waveform based on the statistical characteristics of the received subframe signals.

[0068] As an example, the sub-frame merging of the received multiple sub-frame signals based on the maximum likelihood estimation algorithm to restore the original signal includes: S141-S142.

[0069] S141: Obtaining the best matching weight between each of the subframe signals and the original signal based on the maximum likelihood estimation algorithm.

[0070] S142: Perform weighted combination based on the sub-frame signals and the most matching weights of the sub-frame signals to restore the original signal.

[0071] Specifically, the received multiple subframe signals can be recorded as R1, R2, ..., Rn respectively; by analyzing each subframe signal through the MLE algorithm, the probability P(S|R 1 ,R 2 ,...,R n )The largest original signal According to the result of the MLE algorithm, weighted combination is performed on each of the subframe signals and the most matched weights of each of the subframe signals to restore the original signal.

[0072]

[0073] in, represents the estimated original signal; S represents the original signal; R 1 ,R 2 ,...,R n Indicates the received subframe; P(S|R 1 ,R 2 ,...,R n ) represents the probability of the original signal appearing under the condition of a given received subframe; is a mathematical term that refers to the value of the independent variable that maximizes the following function. Here, it is to find the value of S that makes P(S|R 1 ,R 2 ,...,R n )The particular value of S for which this probability function reaches its maximum value.

[0074] The above formula indicates that a maximum possible original signal can be found This makes the probability of the original signal appearing maximized given the received subframe signal.

[0075] In the maximum likelihood estimation (MLE) framework, to find the variable R i The "best match weight" between the subframe signal and the original signal usually requires optimizing a statistical model containing weights. The following are the general steps for weight estimation:

[0076] Build a model: Build a model where R i The weight between the original signal and the original signal is a location parameter, which can be represented by w;

[0077] Define the likelihood function: The likelihood function represents the probability of observing data under a given parameter w; in MLE, we need to find the value of w that maximizes the likelihood function;

[0078] Optimize the likelihood function: Find the maximum likelihood estimate of w by taking the derivative of the likelihood function and setting the derivative equal to zero, or use a numerical optimization method such as gradient descent to find the maximum value.

[0079] If the analysis table weight of 0.5 is the best match, then this value can be obtained through the above process.

[0080] Suppose there is a simple linear model, for example: Ri = w × original signal + noise; where w is the weight to be estimated.

[0081] As an example, the likelihood function can be constructed based on the observed data. For example, assuming that the noise is Gaussian distributed, the likelihood function can be written as:

[0082]

[0083] Among them, R i is the observed i-th value, Y i is the i-th value of the original signal, σ 2 is the variance of the noise, N is the total number of observations, and w is the weight to be estimated.

[0084] As an example, the log-likelihood function may be:

[0085]

[0086] Among them, R i is the observed i-th value, Y i is the i-th value of the original signal, σ 2 is the variance of the noise, N is the total number of observations, and w is the weight to be estimated.

[0087] In the specific implementation, statistical software or optimization libraries in programming languages ​​can be used to solve this problem. The following is the formula for solving the best matching weight:

[0088]

[0089] Among them, R i is the observed i-th value, Y i is the i-th value of the original signal, σ 2 is the variance of the noise, N is the total number of observations, w is the weight to be estimated, It is a mathematical term that refers to the value of the independent variable that maximizes the subsequent function.

[0090] In an example, the three received subframe signals are subframe signals R 1 , subframe signal R 2 And subframe signal R 3 For example, through the above analysis of the subframe signal R 1 The best match weight with the original signal is 0.5, and the subframe signal R 2 The best match weight with the original signal is 0.3, and the subframe signal R 3 The best matching weight with the original signal is 0.2; then the original signal S is restored by weighted merging based on each of the subframe signals and the best matching weight of each of the subframe signals 合 For: S 合 =0.5R 1 +0.3R 2 +0.2R 3 .

[0091] As an example, after step S14, the following steps may also be included:

[0092] S15: performing interference suppression on the restored original signal.

[0093] Since each subframe signal is distorted to some extent during transmission due to interference factors such as noise and interference signals, interference suppression can ensure the quality of the restored original signal. Specifically, the specific method of interference suppression can refer to step S10, which is not similar here.

[0094] In another embodiment of the present application, please refer to Figure 2 The present application also provides a weak current communication system based on time diversity, and the weak current communication system based on time diversity may include: a segmentation device 10, a transmitting device 20, a receiving device 30 and a subframe merging device 40; wherein the segmentation device 10 is used to segment the original signal to obtain multiple subframe signals; the transmitting device 20 is used to transmit the multiple subframe signals at different time points based on the time diversity technology; the receiving device 30 is used to receive the multiple subframe signals; the subframe merging device 40 is used to perform subframe merging on the received multiple subframe signals to restore the original signal.

[0095] In the weak current communication system based on time diversity of the present application, the segmentation device 10, the transmitting device 20 and the receiving device 30 are set to segment the original signal. After obtaining multiple subframe signals, the multiple subframe signals are respectively transmitted at different time points based on the time diversity technology, which can effectively improve the anti-interference ability of the signal and improve the signal transmission quality, thereby solving the problem of signal transmission quality.

[0096] It should be noted that, for the convenience of display, Figure 2 Only one receiving device 30 is shown. The number of the receiving devices can be designed according to actual needs to ensure that all subframe signals can be received. For example, the number of the receiving devices can be the same as the number of the subframe signals to ensure that the subframe signals can be received one by one.

[0097] As an example, the time diversity-based weak current communication system may further include: a preprocessing device (not shown), the preprocessing device being used to preprocess the original signal to suppress interference on the original signal.

[0098] As an example, the preprocessing device may include an adaptive filter or a blind source separation device; the subframe merging device 40 includes a maximum likelihood estimation algorithm module.

[0099] As an example, there are multiple receiving devices 30, and the multiple receiving devices 30 receive different subframe signals at different time points respectively.

[0100] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0101] Although the present application has been disclosed as above with the embodiments, it is not intended to limit the present application. Any person with ordinary knowledge in the technical field can make some changes and modifications without departing from the spirit and scope of the present application. Therefore, the scope of protection of the present application shall be determined by the scope of the attached patent application.

Claims

1. A weak current communication method based on time diversity, characterized in that: include: The original signal is divided to obtain a plurality of sub-frame signals; Based on the time diversity technology, the plurality of subframe signals are transmitted at different time points respectively; receiving a plurality of subframe signals; The received multiple subframe signals are subframe-merged to restore the original signal.

2. The weak current communication method based on time diversity according to claim 1, characterized in that: Before the original signal is divided to obtain a plurality of subframe signals, the method further includes: The original signal is preprocessed to suppress interference of the original signal.

3. The weak current communication method based on time diversity as claimed in claim 2, characterized in that: The preprocessing of the original signal comprises: The original signal is preprocessed based on at least one of an adaptive filter and a blind source separation technology.

4. The weak current communication method based on time diversity according to claim 1, characterized in that: The receiving a plurality of subframe signals comprises: The receiving end is provided with a plurality of receiving devices, and the plurality of receiving devices receive different subframe signals at different time points respectively.

5. The weak current communication method based on time diversity as claimed in claim 1, characterized in that: The received multiple subframe signals are subframe-merged based on a maximum likelihood estimation algorithm to restore the original signal.

6. The weak current communication method based on time diversity as claimed in claim 5, characterized in that: The step of performing subframe merging on the received multiple subframe signals based on a maximum likelihood estimation algorithm to restore the original signal includes: Obtaining the best matching weight between each of the subframe signals and the original signal based on the maximum likelihood estimation algorithm; Weighted combination is performed based on each of the sub-frame signals and the most matching weight of each of the sub-frame signals to restore the original signal.

7. A weak current communication system based on time diversity, characterized in that: include: A segmentation device, used for segmenting the original signal to obtain a plurality of sub-frame signals; A transmitting device, used for transmitting the plurality of subframe signals at different time points based on a time diversity technology; A receiving device, used for receiving a plurality of said subframe signals; The subframe merging device is used to perform subframe merging on the received multiple subframe signals to restore the original signal.

8. The weak current communication system based on time diversity as claimed in claim 7, characterized in that: The weak current communication system based on time diversity also includes: The preprocessing device is used to preprocess the original signal to suppress interference of the original signal.

9. The weak current communication system based on time diversity as claimed in claim 8, characterized in that: The preprocessing device includes an adaptive filter or a blind source separation device; the subframe merging device includes a maximum likelihood estimation algorithm module.

10. The weak current communication system based on time diversity as claimed in claim 7, characterized in that: There are multiple receiving devices, and the multiple receiving devices receive different subframe signals at different time points respectively.

Images