DVB-S2 burst signal large Doppler frequency offset estimation method and electronic equipment

Abstract

The invention provides a DVB-S2 burst signal large Doppler frequency offset estimation method and electronic equipment, and the method comprises the steps: carrying out the Lamp based on the priori value compensation based on the initial domain information of a frame header in a target DVB-S2 burst signal; obtaining a first frequency offset estimation result through an R offset frequency estimation algorithm; decoding physical layer signaling domain information of the last L1 symbols of the frame header through a Reed-Muller code; acquiring a second frequency offset estimation result based on the initial domain information and the physical layer signaling domain information; all pilot frequency block information is obtained, and a third frequency offset estimation result is obtained through coherent accumulation and fast Fourier transform; and based on the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result, obtaining a large Doppler frequency offset estimation result of the DVB-S2 burst signal. According to the method, accurate and simple large Doppler frequency offset estimation of the DVB-S2 burst signal is realized through the three-step precise estimation method.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method and electronic equipment for estimating a Doppler frequency deviation of a DVB-S2 burst signal. Background Art

[0002] In wireless digital communication systems, various factors such as Doppler frequency shift, multipath fading, and instability of local oscillators cause signal loss, making it difficult to synchronize the carrier. Among these losses, the most important factor affecting reception performance is frequency offset. Frequency offset in signal transmission can cause interference between carriers, resulting in performance degradation, and in severe cases, it can lead to the inability to demodulate the original information. In order to correctly demodulate the signal, the carrier frequency must be estimated with high precision so that the system can achieve good carrier synchronization.

[0003] At present, many solutions for frequency offset estimation have been proposed at home and abroad. One of the solutions is to obtain the phase angle based on the autocorrelation function, such as the Fitz algorithm or the L&R algorithm, and then obtain the frequency offset estimation result. This type of solution has a very low signal-to-noise ratio threshold. Another solution is to find the maximum value of the FFT sequence modulo, such as the FFT-based DA synchronization algorithm, to obtain the frequency offset estimation result. This solution uses all the pilot symbols and data symbol information in the received signal and has a high frequency offset estimation accuracy.

[0004] However, the frequency offset estimation method based on the phase angle of the autocorrelation function generally has a very narrow frequency offset estimation range, and the estimation accuracy is very poor under the condition of large Doppler frequency offset. When using FFT sequence for frequency offset estimation, the currently used DA synchronization algorithm uses all pilot and data symbols. For systems with long code lengths such as DVB-S2, the complexity of achieving the target performance is too high. Therefore, the above two solutions are not applicable to the large Doppler frequency offset estimation of DVB-S2 burst signals. Summary of the invention

[0005] The present invention provides a method and electronic device for estimating the Doppler frequency offset of a DVB-S2 burst signal, which are used to solve the defects that the prior art is not applicable to the Doppler frequency offset estimation of a DVB-S2 burst signal, and achieve the goal of accurately and easily estimating the Doppler frequency offset of a DVB-S2 burst signal.

[0006] The present invention provides a method for estimating Doppler frequency deviation of a DVB-S2 burst signal, comprising:

[0007] Based on the start domain information of the frame header in the target DVB-S2 burst signal, a first frequency offset estimation result of the target DVB-S2 burst signal is calculated and obtained by using an L&R frequency offset estimation algorithm based on prior value compensation;

[0008] Decoding the target DVB-S2 burst signal by Reed-Muller code to obtain the physical layer signaling domain information of the last L1 symbols of the frame header;

[0009] Based on the starting domain information and the L1 physical layer signaling domain information, obtaining a second frequency offset estimation result of the target DVB-S2 burst signal through a frequency domain algorithm;

[0010] Acquire all pilot block information of the target DVB-S2 burst signal, and acquire a third frequency offset estimation result of the target DVB-S2 burst signal by performing coherent accumulation and fast Fourier transform on all pilot block information;

[0011] A Doppler frequency offset estimation result of the target DVB-S2 burst signal is acquired based on the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result.

[0012] According to a method for estimating a Doppler frequency offset of a DVB-S2 burst signal provided by the present invention, the method calculates and obtains a first frequency offset estimation result of the target DVB-S2 burst signal by using an L&R frequency offset estimation algorithm based on prior value compensation, including:

[0013] Extracting the frame header of the target DVB-S2 burst signal, and stripping data from the frame header to obtain a first carrier;

[0014] Performing an autocorrelation operation on the first carrier, and performing a smoothing operation by averaging the autocorrelation results to obtain an average autocorrelation noise reduction formula;

[0015] Based on the average autocorrelation noise reduction formula, and a first formula derived from the average autocorrelation noise reduction formula through a geometric series summation formula and Euler's formula, the first frequency offset estimation result is calculated and obtained.

[0016] According to a method for estimating a Doppler frequency offset of a DVB-S2 burst signal provided by the present invention, obtaining a second frequency offset estimation result of the target DVB-S2 burst signal by a frequency domain algorithm includes:

[0017] Based on the starting domain information and L1 physical layer signaling domain information, data stripping is performed on the frame header information compensated by the prior value to obtain a second carrier;

[0018] Perform a frequency domain estimation operation on the second carrier to obtain the second frequency offset estimation result.

[0019] According to a DVB-S2 burst signal Doppler frequency deviation estimation method provided by the present invention, the frequency domain estimation operation includes a Fourier transform operation, and the maximum position of the spectrum modulus peak value of the result of the Fourier transform operation is k max ;

[0020] Accordingly,

[0021] The method further comprises:

[0022] Based on k max The left neighbor k l and right neighbor k r , the approximate value of the parabolic function is derived as:

[0023]

[0024] Based on the approximate value △k, get the corrected position index And by indexing the corrected position Substitute the second frequency offset estimation result into the corrected second frequency offset estimation result.

[0025] According to a method for estimating a Doppler frequency offset of a DVB-S2 burst signal provided by the present invention, obtaining a third frequency offset estimation result of the target DVB-S2 burst signal includes:

[0026] Using the reference waveform of all the pilot block information, by coherently accumulating all the pilot block information, the data of the frame header is stripped;

[0027] Perform a fast Fourier transform on the result of the data stripping, and obtain the third frequency offset estimation result based on the result of the fast Fourier transform.

[0028] According to a method for estimating a Doppler frequency offset of a DVB-S2 burst signal provided by the present invention, obtaining a Doppler frequency offset estimation result of the target DVB-S2 burst signal includes:

[0029] The first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result are superimposed, and combined with the captured Doppler frequency offset rough estimation result F d , calculate and obtain the Doppler frequency offset estimation result.

[0030] The present invention also provides a DVB-S2 burst signal Doppler frequency deviation estimation device, comprising:

[0031] A first processing module is used to calculate and obtain a first frequency offset estimation result of the target DVB-S2 burst signal based on the start domain information of the frame header in the target DVB-S2 burst signal by using an L&R frequency offset estimation algorithm based on prior value compensation;

[0032] The second processing module is used to decode the physical layer signaling domain information of the last L1 symbols of the frame header in the target DVB-S2 burst signal through Reed-Muller code decoding;

[0033] A third processing module, configured to obtain a second frequency offset estimation result of the target DVB-S2 burst signal through a frequency domain algorithm based on the starting domain information and the L1 physical layer signaling domain information;

[0034] a fourth processing module, configured to obtain all pilot block information of the target DVB-S2 burst signal, and obtain a third frequency offset estimation result of the target DVB-S2 burst signal by performing coherent accumulation and fast Fourier transform on all pilot block information;

[0035] The operation output module is used to obtain a Doppler frequency offset estimation result of the target DVB-S2 burst signal based on the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result.

[0036] The present invention also provides an electronic device, comprising a memory, a processor, and a program or instruction stored in the memory and executable on the processor. When the processor executes the program or instruction, the steps of the DVB-S2 burst signal Doppler frequency deviation estimation method as described in any one of the above are implemented.

[0037] The present invention also provides a non-transitory computer-readable storage medium having a program or instruction stored thereon. When the program or instruction is executed by a computer, the steps of any of the above-mentioned methods for estimating the Doppler frequency offset of a DVB-S2 burst signal are implemented.

[0038] The present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute any of the DVB-S2 burst signal Doppler frequency deviation estimation methods described above.

[0039] The DVB-S2 burst signal Doppler frequency deviation estimation method and electronic device provided by the present invention first use the frame header start domain information to perform the first step of L&R algorithm precise estimation; then based on the physical layer signaling domain information and the start domain information after Reed-Muller code decoding, all the frame header information is used to further estimate the frequency deviation through the frequency domain algorithm; finally, all the known pilot block information is used to perform precise estimation through coherent accumulation and fast Fourier transform, and finally accurate and simple Doppler frequency deviation estimation of the DVB-S2 burst signal is realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments of the present invention or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A schematic diagram of a flow chart of a Doppler frequency deviation estimation method for a DVB-S2 burst signal provided by the present invention;

[0042] Figure 2 A schematic diagram of the structure of a DVB-S2 burst signal frame in a method for estimating a Doppler frequency offset of a DVB-S2 burst signal provided by the present invention;

[0043] Figure 3 A schematic diagram of a flow chart of obtaining a first frequency offset estimation result in a method for estimating a Doppler frequency offset of a DVB-S2 burst signal according to the present invention;

[0044] Figure 4 A schematic diagram of a framework for coherently accumulating all pilot block information in a method for estimating a Doppler frequency offset of a DVB-S2 burst signal provided by the present invention;

[0045] Figure 5 This is a structural schematic diagram of a device for estimating a Doppler frequency deviation of a DVB-S2 burst signal provided by the present invention;

[0046] Figure 6 A schematic diagram of the physical structure of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] The present invention aims at the problem that the prior art cannot be applied to the estimation of the Doppler frequency offset of DVB-S2 burst signals, etc., by first using the starting domain information of the frame header to perform the precise estimation of the first step of the L&R algorithm; then based on the physical layer signaling domain information and the starting domain information after the Reed-Muller code decoding, all the frame header information is used to further estimate the frequency offset through the frequency domain algorithm; finally, all the known pilot block information is used to perform precise estimation through coherent accumulation and fast Fourier transform, and finally the accurate and simple Doppler frequency offset estimation of the DVB-S2 burst signal is realized. The present invention will be described and introduced in detail through multiple embodiments in conjunction with the accompanying drawings.

[0049] Figure 1 The flowchart of the method for estimating the Doppler frequency deviation of a DVB-S2 burst signal provided by the present invention is as follows: Figure 1 As shown, the method includes:

[0050] S101, based on the start field information of the frame header in the target DVB-S2 burst signal, a first frequency offset estimation result of the target DVB-S2 burst signal is calculated and obtained by using an L&R frequency offset estimation algorithm based on prior value compensation.

[0051] It can be understood that the structure of the DVB-S2 burst frame in the present invention is as follows: Figure 2 FIG. 1 is a schematic diagram of the structure of a DVB-S2 burst signal frame in a method for estimating a large Doppler frequency offset of a DVB-S2 burst signal provided by the present invention. Each physical frame of the DVB-S2 burst signal includes a frame header with a length of H symbols and a frame body with a variable length, and the frame body is composed of data symbols and pilot blocks inserted at equal intervals.

[0052] Among them, the length of the starting domain of the frame is L0 symbols, which can be used for the frame synchronization process. A pilot block with a length of S known symbols is inserted every D data symbols in the frame body. There is no pilot block at the end of each physical frame, and the pilot can be used for frequency offset estimation. The physical frame parameters in the DVB-S2 protocol are shown in Table 1, which is a physical frame parameter table of the DVB-S2 burst signal in the DVB-S2 burst signal Doppler frequency offset estimation method provided by the present invention. For the convenience of explanation, the following 8 waveforms with different modulation modes and different lengths are respectively assigned waveform IDs 1-8 in the present invention.

[0053] Table 1, physical frame parameter table of DVB-S2 burst signal in the method for estimating Doppler frequency offset of DVB-S2 burst signal provided by the present invention

[0054]

[0055] For frame structures such as DVB-S2 / DVB-S2X, since the burst signal is relatively long, and such frame structures contain multiple pilot blocks with a length of S known symbols. In order to make full use of the frame header and pilot information, the present invention first uses the frame header start domain information of the target DVB-S2 burst signal to perform the initial estimation of the first step of the L&R algorithm. That is, since the frame header length is known, the frame header part of the received signal can be extracted based on the estimated frame header start position during frame synchronization, and further compensated according to the Doppler prior value, and then the L&R frequency offset estimation algorithm is operated to obtain the first frequency offset estimation result of the target DVB-S2 burst signal.

[0056] S102, decoding the physical layer signaling domain information of the last L1 symbols of the frame header in the target DVB-S2 burst signal by Reed-Muller code.

[0057] It can be understood that from the above description, the frame header in the DVB-S2 burst signal includes the front L0 start fields and the back L1 symbols. After compensating the first frequency offset estimation result preliminarily estimated in step S101, the error control coding technology Reed-Muller code decoding can be performed. The Reed-Muller code decoding part decodes the physical layer signaling domain information of the length L1 symbols in the frame header.

[0058] S103, based on the starting domain information and the L1 physical layer signaling domain information, obtain a second frequency offset estimation result of the target DVB-S2 burst signal through a frequency domain algorithm.

[0059] It can be understood that, based on the completion of the above steps, all frame header information of all H (H = L0 + L1) symbols can be obtained. Based on all frame header information, that is, all starting domain information and L1 physical layer signaling domain information, the frame header information after the first step of preliminary estimation compensation can be stripped, and the frequency domain estimation algorithm can be further used to obtain the second frequency offset estimation result.

[0060] That is to say, after obtaining the starting domain information according to the above steps and obtaining the physical layer signaling domain information by decoding the Reed-Muller code, the frequency offset can be further estimated by the frequency domain algorithm based on all the frame header information to obtain a second frequency offset estimation result.

[0061] S104, obtaining all pilot block information of the target DVB-S2 burst signal, and obtaining a third frequency offset estimation result of the target DVB-S2 burst signal by performing coherent accumulation and fast Fourier transform on all pilot block information.

[0062] It can be understood that when the frequency domain algorithm is used to accurately estimate the pilot information, the idea of ​​coherent accumulation is considered. The accumulation method is to take out all the pilot blocks, and coherently accumulate the S symbol points of each pilot block respectively, so that the zero-mean Gaussian white noise cancels each other, thereby improving the signal-to-noise ratio. At the same time, fewer FFT points can be used for frequency offset estimation to reduce the computational complexity. Based on the coherent accumulation, a fast Fourier transform is performed, and based on the transform result, the third step of estimation is performed to obtain the third frequency offset estimation result.

[0063] S105: Obtain a Doppler frequency offset estimation result of the target DVB-S2 burst signal based on the first frequency offset estimation result, the second frequency offset estimation result, and the third frequency offset estimation result.

[0064] It can be understood that, based on obtaining the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result respectively after obtaining the three-step preliminary estimation, a comprehensive operation can be performed according to these preliminary estimation results to determine the final estimation result as the final Doppler frequency offset estimation result for the target DVB-S2 burst signal. The comprehensive operation can be, for example, direct superposition or weighting, etc., and the present invention is not limited to this.

[0065] The method for estimating the Doppler frequency offset of a DVB-S2 burst signal provided by the present invention first uses the start domain information of the frame header to perform precise estimation of the first step of the L&R algorithm; then based on the physical layer signaling domain information and the start domain information after Reed-Muller code decoding, all the frame header information is used to further estimate the frequency offset through a frequency domain algorithm; finally, all the known pilot block information is used to perform precise estimation through coherent accumulation and fast Fourier transform, thereby finally realizing precise and simple Doppler frequency offset estimation of the DVB-S2 burst signal.

[0066] Among them, according to the DVB-S2 burst signal Doppler frequency offset estimation method provided by the above embodiments, optionally, the step of calculating and obtaining the first frequency offset estimation result of the target DVB-S2 burst signal by using the L&R frequency offset estimation algorithm based on prior value compensation is as follows: Figure 3 FIG. 1 is a flow chart of obtaining a first frequency offset estimation result in a method for estimating a Doppler frequency offset of a DVB-S2 burst signal according to the present invention, comprising:

[0067] S301, extracting the frame header of the target DVB-S2 burst signal, and stripping data from the frame header to obtain a first carrier.

[0068] It can be understood that, in the present invention, since the frame header length is known, the frame header part of the received signal can be extracted according to the frame header starting position estimated during frame synchronization, and compensation is performed according to the Doppler prior value, that is:

[0069]

[0070] In the formula, s L (n) represents the extracted frame header part, F d represents the Doppler prior value, s L1 (n) means s L (n) Signal after coarse Doppler compensation.

[0071] Afterwards, the obtained s L (n) Data stripping is performed to obtain the first carrier as follows:

[0072]

[0073] In the formula, s head (n) Header frame header frame start field baseband reference waveform, f d1 represents the frequency deviation after a priori compensation, w(n) represents zero-mean Gaussian white noise, and the superscript * represents the conjugate operation.

[0074] S302: Perform an autocorrelation operation on the first carrier, and perform a smoothing operation by averaging the autocorrelation results to obtain an average autocorrelation noise reduction formula.

[0075] It can be understood that, based on the collection of the first carrier obtained according to the above steps, an autocorrelation operation can be performed on it according to the following formula:

[0076]

[0077] Where, L 0表示 The frame start field length of the original frame header. The total length of the frame header is H symbols, of which the frame start field part of the first L0 symbols is known, and the physical layer signaling field information of the last L1 symbols needs to be obtained after Reed-Muller code decoding.

[0078] Therefore, formula (3) can be substituted into formula (2) to obtain the following autocorrelation result:

[0079]

[0080] Afterwards, the autocorrelation results are averaged to smooth the influence of noise, and we get:

[0081]

[0082] Assuming that the zero-mean noise term w'(m) has little effect on the above formula, the average autocorrelation noise reduction formula can be obtained as follows:

[0083]

[0084] S303, based on the average autocorrelation noise reduction formula, and a first formula derived from the average autocorrelation noise reduction formula through a geometric series summation formula and Euler's formula, calculate and obtain the first frequency offset estimation result.

[0085] It can be understood that, for the above average autocorrelation noise reduction formula, the derivation operation can be performed according to the geometric series summation formula and the Euler formula, and it can be verified that after the prior value compensation of step S101 of the above embodiment, the frequency offset can be guaranteed to meet This range condition. So we can get the following equation:

[0086]

[0087] The condition for the above equation to be true is that the right side It must be a positive number, so we have This is different from the L&R precise estimation based on the frame start domain, which requires the frequency deviation range to be

[0088] The conditions are consistent.

[0089] After that, the argument angles on both sides of formula (7) are taken at the same time, and formula (6) is substituted into the equation to obtain the frequency offset estimation result of the first step estimation, that is, the first frequency offset estimation result is:

[0090]

[0091] Since the argument is in the range of -π to π, we have This is consistent with the frequency deviation range established by formula (7), and the frequency deviation after coarse compensation meets this requirement.

[0092] Among them, according to the DVB-S2 burst signal Doppler frequency offset estimation method provided by the above embodiments, optionally, the second frequency offset estimation result of the target DVB-S2 burst signal is obtained through a frequency domain algorithm, including: based on the starting domain information and L1 physical layer signaling domain information, data stripping is performed on the frame header information that has been compensated by the prior value to obtain a second carrier; and frequency domain estimation operation is performed on the second carrier to obtain the second frequency offset estimation result.

[0093] It can be understood that after compensating the frequency offset preliminarily estimated in the first step according to the above embodiments, the present invention performs Reed-Muller code decoding, and the Reed-Muller code decoding part is to decode the content of the physical layer signaling domain part of the frame header with a length of L1 symbols. In this way, all the frame header information of all H symbols in the frame header can be obtained. Afterwards, the frame header information after the preliminarily compensated first step estimation is stripped with all the frame header information, and the frequency domain estimation algorithm is used to obtain the frequency offset of the second step, that is, the second frequency offset estimation result for:

[0094]

[0095] In the formula, k max Indicates the position where the Fourier spectrum modulus value peak is the largest, N indicates the number of Fourier transform points, and the number of FFT points can be greater than the total length of the frame header. In the DVB-S2 protocol, H is 90 symbols, so N in the present invention can be 128.

[0096] Wherein, according to the DVB-S2 burst signal Doppler frequency deviation estimation method provided in the above embodiments, the frequency domain estimation operation includes a Fourier transform operation, and the maximum position of the spectrum modulus value peak value of the result of the Fourier transform operation is k max .

[0097] Accordingly, the DVB-S2 burst signal Doppler frequency offset estimation method provided by the present invention according to the above embodiments further includes:

[0098] Based on k max The left neighbor k l and right neighbor k r , the approximate value of the parabolic function is derived as:

[0099]

[0100] Based on the approximate value △k, get the corrected position index And by indexing the corrected position Substitute the second frequency offset estimation result into the corrected second frequency offset estimation result.

[0101] It can be understood that in order to further correct the frequency offset and make the result more accurate, the present invention considers using the maximum value position index k in the fast Fourier transform max The left neighbor k l and right neighbor k r , and use it to derive an approximation for the parabolic function as follows:

[0102]

[0103] Therefore, the corrected position index It can be expressed as:

[0104]

[0105] Afterwards, Instead of k max , substitute into the second frequency offset estimation result The corrected frequency offset estimation value, that is, the corrected second frequency offset estimation result, can be obtained from the frequency offset estimation formula.

[0106] Among them, according to the DVB-S2 burst signal Doppler frequency offset estimation method provided by the above-mentioned embodiments, optionally, the obtaining of the third frequency offset estimation result of the target DVB-S2 burst signal includes: utilizing the reference waveform of the entire pilot block information to realize data stripping of the frame header by coherently accumulating the entire pilot block information; performing fast Fourier transform on the result of the data stripping, and obtaining the third frequency offset estimation result based on the result of the fast Fourier transform.

[0107] It can be understood that the present invention considers the idea of ​​coherent accumulation when performing frequency domain algorithm estimation on pilot information. Figure 4 FIG. 1 is a schematic diagram of a framework for coherently accumulating all pilot block information in a method for estimating a Doppler frequency offset of a DVB-S2 burst signal according to the present invention.

[0108] Since the preliminary estimation of step S101 and step S102 in the above embodiment has been performed, the root mean square error of the Doppler frequency offset can be reduced to a certain value. Since only the pilot block information is accumulated, it is equivalent to that the data block information is all zero, so in the third fine estimation, the pilot accumulation period is set to D+S symbols (a data part of D symbols plus a pilot part of S symbols).

[0109] In the DVB-S2 protocol, the number of symbols in a data block is 1440, and the number of symbols in a pilot block is 36. After the frequency offset is compensated in step S101 according to the above embodiments, the information s(n) of each pilot block is taken out, and the known pilot block reference waveform c is used to obtain the information s(n) of each pilot block. PSam (n) The data stripping of s(n) is as follows:

[0110]

[0111] Therefore, the frequency offset of the third step can be obtained, that is, the third frequency offset estimation result for:

[0112]

[0113] In the formula, k max Indicates the position where the Fourier spectrum modulus value has the largest peak value, L coh Cumulative represents the number of addition points, which is equal to the accumulation period D+S. N represents the number of Fourier transform points, and its value is an integer power of 2 greater than the number of pilot blocks+D.

[0114] Referring to the above embodiments, the maximum position index k can also be considered max The left neighbor k l and right neighbor k r , using formula (10) and formula (11) to get the corrected position index and replace k max Substitute into In the frequency offset estimation formula, the corrected third frequency offset estimation result can be obtained.

[0115] Wherein, according to the DVB-S2 burst signal Doppler frequency offset estimation method provided in the above embodiments, optionally, the obtaining of the Doppler frequency offset estimation result of the target DVB-S2 burst signal includes: superimposing the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result, and combining the captured Doppler frequency offset rough estimation result F d , calculate and obtain the Doppler frequency offset estimation result.

[0116] It can be understood that the present invention considers the simplest case, directly superimposing the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result calculated according to the above embodiments, and considering F d , and finally obtain the estimated result f of the Doppler frequency deviation of the target DVB-S2 burst signal d as follows:

[0117]

[0118] In the formula, F d It represents the rough estimation result of Doppler frequency deviation obtained by capture. represents the first frequency offset estimation result, represents the second frequency offset estimation result, represents the third frequency offset estimation result, f d Represents the final Doppler frequency offset estimation result.

[0119] To further illustrate the technical solution of the present invention, the present invention is described in more detail with the following examples, but the scope of protection claimed in the present invention is not limited.

[0120] The present invention mainly focuses on the physical frame structure of burst signals of the DVB-S2 / DVB-S2X system, and proposes a Doppler frequency offset estimation method. The frequency offset estimation method is mainly carried out in three steps, specifically including the following steps:

[0121] The first step is to perform time domain L&R precise estimation based on the frame header start domain information. Specifically:

[0122] First, the estimated frame header starting position is obtained through frame synchronization, the frame header part of the received signal is extracted and the Doppler prior value F is used to calculate the frame header starting position. d to make compensation;

[0123] Secondly, the compensated signal is stripped to obtain the carrier, and the carrier is autocorrelated to obtain:

[0124]

[0125] Again, we average it to smooth out the effect of noise. Assuming that the zero-mean noise term w'(m) has little effect, we ignore the noise term and consider the equation:

[0126]

[0127] The condition for its establishment is that the right side It must be a positive number, so we have Therefore, the required frequency deviation range for L&R estimation based on the frame start domain is After compensation by the priori value, it can be ensured that the frequency deviation meets this range condition;

[0128] Finally, by taking the argument angles on both sides at the same time, the frequency offset estimation result of the first step is obtained as follows:

[0129]

[0130] The second step is to accurately estimate the frequency domain based on all frame header information. Specifically, it includes:

[0131] First, after compensating for the frequency offset accurately estimated in the first step, Reed-Muller code decoding is required. The Reed-Muller code decoding part is to decode the content of the physical layer signaling domain part of the frame header with a length of L1 symbols, thereby obtaining all the frame header information of all H symbols;

[0132] Secondly, all the frame header information is used to strip the frame header information after the first step of accurate estimation and compensation, and then the frequency domain estimation algorithm is used to obtain the frequency deviation of the second step of accurate estimation. for:

[0133]

[0134] Among them, k max is the position with the largest modulus value peak of the Fourier spectrum, N is the number of Fourier transform points, and the number of FFT points can be greater than the total length of the frame header;

[0135] Finally, to correct for frequency offset, the maximum position index k can be considered max The left neighbor k l and right neighbor k r , which can be used to derive an approximation of the parabolic function:

[0136]

[0137] The corrected position index is, Substitute it into The corrected frequency offset estimate can be obtained from the frequency offset estimation formula.

[0138] The third step is to accurately estimate the frequency offset based on all pilot information, specifically including:

[0139] First, after the second step of precise estimation and compensation, the information s(n) of each pilot block is taken out, and the data of s(n) is stripped using the known pilot block reference waveform;

[0140] Secondly, the frequency deviation estimated in the third step is obtained, and the maximum position index k is also considered max The left neighbor k l and right neighbor k r , using the corrected position index and replace k max Substitute into The corrected frequency offset estimation can be obtained from the frequency offset estimation formula;

[0141] Finally, the Doppler frequency deviation estimate is:

[0142] The third step of precise estimation in the embodiment of the present invention uses a coherent accumulation method, that is, all pilot blocks are taken out, and the S symbol points of each pilot block are coherently accumulated respectively, so that the zero-mean Gaussian white noise cancels each other, thereby improving the signal-to-noise ratio; at the same time, this method can also use fewer FFT points for frequency offset estimation, reducing the calculation complexity.

[0143] In order to verify the actual effect of the present invention, a large number of experiments were carried out in the embodiments of the present invention. The results show that the maximum Doppler range that can be estimated by the method of the present invention is 20% symbol rate deviation, and the frame header start domain information, all frame header information and all pilot information are fully utilized to estimate the frequency offset. First, a frequency offset estimation value is obtained by using the L&R algorithm, and then the frame header and pilot are subjected to FFT processing, and finally an accurate frequency offset estimation result is obtained through three-step estimation and compensation.

[0144] Since the signal-to-noise ratio threshold of the L&R algorithm is low, a frequency offset compensation value can be obtained first for further FFT estimation. Compared with directly performing FFT estimation on the prior value, the estimation accuracy is improved. Since the physical frame header of DVB-S2 / DVB-S2X is very short, the complexity of the first two steps of estimation is not high. At the same time, the number of FFT points is reduced by superimposing pilots in the third step of estimation, which greatly reduces the complexity.

[0145] Taking DVB-S2 as an example, the first step of the L&R algorithm is to estimate the frame header start field information, with a complexity of O(n2), where n is the frame start field length / 2, and the length is fixed to 36; the second step is to perform FFT estimation on the entire frame header information, with a complexity of O(N*log2N), where N is the number of FFT points greater than the frame header length, and the number of points is fixed to 128; the third step is to perform coherent accumulation on the pilot block symbols (length is 36) and data symbols (length is 1440, all 0), with a complexity of O(N*log2N), where N is the number of FFT points, and a suitable value greater than the number of pilot blocks + 1440 is taken. In contrast, the FFT-based DA method needs to process all pilot symbols and data symbol information, with a complexity of O(N*log2N), where N is the number of FFT points, taking the sum of the lengths of all pilot symbols and data symbols, and taking different values ​​according to different waveforms and modulation methods. Taking waveform 9 and 8PSK modulation as an example, the total length of the addition is 22104. In comparison, the complexity of the three-step estimation method is about 7.4% of that of the DA method.

[0146] Based on the same inventive concept, the present invention further provides a DVB-S2 burst signal Doppler frequency deviation estimation device according to the above embodiments, and the device is used to realize the estimation of the Doppler frequency deviation of the DVB-S2 burst signal in the above embodiments. Therefore, the description and definition in the DVB-S2 burst signal Doppler frequency deviation estimation method in the above embodiments can be used for understanding each execution module in the present invention, and the above method embodiments can be specifically referred to, which will not be repeated here.

[0147] According to one embodiment of the present invention, the structure of the DVB-S2 burst signal Doppler frequency deviation estimation device is as follows: Figure 5 FIG. 1 is a schematic diagram of a DVB-S2 burst signal Doppler frequency offset estimation device provided by the present invention, which can be used to implement the DVB-S2 burst signal Doppler frequency offset estimation in the above-mentioned method embodiments, and the device includes: a first processing module 501, a second processing module 502, a third processing module 503, a fourth processing module 504 and a calculation output module 505. Among them:

[0148] The first processing module 501 is used to calculate and obtain the first frequency offset estimation result of the target DVB-S2 burst signal based on the starting domain information of the frame header in the target DVB-S2 burst signal through the L&R frequency offset estimation algorithm based on prior value compensation; the second processing module 502 is used to decode the physical layer signaling domain information of the last L1 symbols of the frame header in the target DVB-S2 burst signal through Reed-Muller code decoding; the third processing module 503 is used to obtain the physical layer signaling domain information of the last L1 symbols of the frame header based on the starting domain information and the L1 physical layer signaling domain information through the frequency domain algorithm. Obtain the second frequency offset estimation result of the target DVB-S2 burst signal; the fourth processing module 504 is used to obtain all pilot block information of the target DVB-S2 burst signal, and obtain the third frequency offset estimation result of the target DVB-S2 burst signal by coherent accumulation and fast Fourier transform of all pilot block information; the operation output module 505 is used to obtain the Doppler frequency offset estimation result of the target DVB-S2 burst signal based on the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result.

[0149] The DVB-S2 burst signal Doppler frequency deviation estimation device provided by the present invention first uses the frame header start domain information to perform the first step of L&R algorithm precise estimation; then based on the physical layer signaling domain information and the start domain information after Reed-Muller code decoding, all the frame header information is used to further estimate the frequency deviation through the frequency domain algorithm; finally, all the known pilot block information is used to perform precise estimation through coherent accumulation and fast Fourier transform, and finally accurate and simple Doppler frequency deviation estimation of the DVB-S2 burst signal is realized.

[0150] Optionally, when the first processing module is used to calculate and obtain a first frequency offset estimation result of the target DVB-S2 burst signal by using the L&R frequency offset estimation algorithm based on prior value compensation, it is used to:

[0151] Extracting the frame header of the target DVB-S2 burst signal, and stripping data from the frame header to obtain a first carrier;

[0152] Performing an autocorrelation operation on the first carrier, and performing a smoothing operation by averaging the autocorrelation results to obtain an average autocorrelation noise reduction formula;

[0153] Based on the average autocorrelation noise reduction formula, and a first formula derived from the average autocorrelation noise reduction formula through a geometric series summation formula and Euler's formula, the first frequency offset estimation result is calculated and obtained.

[0154] Optionally, when the second processing module is used to obtain the second frequency offset estimation result of the target DVB-S2 burst signal through the frequency domain algorithm, it is used to:

[0155] Based on the starting domain information and L1 physical layer signaling domain information, data stripping is performed on the frame header information compensated by the prior value to obtain a second carrier;

[0156] Perform a frequency domain estimation operation on the second carrier to obtain the second frequency offset estimation result.

[0157] Optionally, the frequency domain estimation operation includes a Fourier transform operation, and the maximum position of the spectrum modulus value peak value of the result of the Fourier transform operation is k max ;

[0158] Accordingly, the second processing module is further used for:

[0159] Based on k max The left neighbor k l and right neighbor k r , the approximate value of the parabolic function is derived as:

[0160]

[0161] Based on the approximate value △k, get the corrected position index And by indexing the corrected position Substitute the second frequency offset estimation result into the corrected second frequency offset estimation result.

[0162] Optionally, when the third processing module is used to obtain a third frequency offset estimation result of the target DVB-S2 burst signal, it is used to:

[0163] Using the reference waveform of all the pilot block information, by coherently accumulating all the pilot block information, the data stripping of the frame header is realized;

[0164] Perform a fast Fourier transform on the result of the data stripping, and obtain the third frequency offset estimation result based on the result of the fast Fourier transform.

[0165] Optionally, when the operation output module is used to obtain a large Doppler frequency offset estimation result for the target DVB-S2 burst signal, it is used to: superimpose the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result, and combine them with the captured Doppler frequency offset rough estimation result F d , calculate and obtain the Doppler frequency offset estimation result.

[0166] It is understandable that the present invention can implement the relevant program modules in the devices of the above embodiments by means of a hardware processor. Moreover, the DVB-S2 burst signal Doppler frequency deviation estimation device of the present invention utilizes the above program modules to implement the DVB-S2 burst signal Doppler frequency deviation estimation process of the above method embodiments. When used to implement the DVB-S2 burst signal Doppler frequency deviation estimation in the above method embodiments, the beneficial effects produced by the device of the present invention are the same as those of the corresponding above method embodiments, and the above method embodiments can be referred to, and will not be repeated here.

[0167] As another aspect of the present invention, the present invention further provides an electronic device according to the above embodiments, the electronic device includes a memory, a processor, and a program or instruction stored in the memory and executable on the processor, and when the processor executes the program or instruction, the steps of the DVB-S2 burst signal Doppler frequency deviation estimation method as described in the above embodiments are implemented.

[0168] Furthermore, the electronic device of the present invention may also include a communication interface and a bus. Figure 6 , is a schematic diagram of the structure of an electronic device provided by the present invention, including: at least one memory 601, at least one processor 602, a communication interface 603 and a bus 604.

[0169] Among them, the memory 601, the processor 602 and the communication interface 603 complete mutual communication through the bus 604, and the communication interface 603 is used for information transmission between the electronic device and the DVB-S2 burst signal generating or storing device; the memory 601 stores a program or instruction that can be run on the processor 602, and when the processor 602 executes the program or instruction, the steps of the DVB-S2 burst signal Doppler frequency deviation estimation method described in the above embodiments are implemented.

[0170] It can be understood that the electronic device at least includes a memory 601, a processor 602, a communication interface 603 and a bus 604, and the memory 601, the processor 602 and the communication interface 603 form a communication connection with each other through the bus 604, and can complete mutual communication, such as the processor 602 reading the program instructions of the method for estimating the Doppler frequency offset of the DVB-S2 burst signal from the memory 601. In addition, the communication interface 603 can also realize the communication connection between the electronic device and the DVB-S2 burst signal generation or storage device, and can complete mutual information transmission, such as realizing the reading of the target DVB-S2 burst signal through the communication interface 603.

[0171] When the electronic device is running, the processor 602 calls the program instructions in the memory 601 to execute the methods provided by the above-mentioned method embodiments, for example, including: based on the starting domain information of the frame header in the target DVB-S2 burst signal, by using the L&R frequency offset estimation algorithm based on prior value compensation, calculating and obtaining the first frequency offset estimation result of the target DVB-S2 burst signal; decoding the physical layer signaling domain information of the last L1 symbols of the frame header in the target DVB-S2 burst signal by Reed-Muller code decoding; based on the starting domain information and L1 The method comprises the steps of: obtaining the second frequency offset estimation result of the target DVB-S2 burst signal by using the physical layer signaling domain information and a frequency domain algorithm; obtaining all pilot block information of the target DVB-S2 burst signal, and obtaining the third frequency offset estimation result of the target DVB-S2 burst signal by performing coherent accumulation and fast Fourier transform on all pilot block information; and obtaining a Doppler frequency offset estimation result of the target DVB-S2 burst signal based on the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result.

[0172] The program instructions in the above-mentioned memory 601 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Alternatively, all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions, and the above-mentioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the above-mentioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (RandomAccess Memory, RAM), disk or optical disk and other media that can store program codes.

[0173] The present invention also provides a non-transitory computer-readable storage medium according to the above embodiments, on which a program or instruction is stored. When the program or instruction is executed by a computer, the steps of the DVB-S2 burst signal Doppler frequency offset estimation method as described in the above embodiments are implemented, for example, including: based on the starting domain information of the frame header in the target DVB-S2 burst signal, using the L&R frequency offset estimation algorithm based on prior value compensation, calculating and obtaining the first frequency offset estimation result of the target DVB-S2 burst signal; decoding the last L1 symbols of the frame header in the target DVB-S2 burst signal by Reed-Muller code decoding. physical layer signaling domain information; based on the starting domain information and L1 physical layer signaling domain information, obtain the second frequency offset estimation result of the target DVB-S2 burst signal through a frequency domain algorithm; obtain all pilot block information of the target DVB-S2 burst signal, and obtain the third frequency offset estimation result of the target DVB-S2 burst signal by coherent accumulation and fast Fourier transform of all pilot block information; based on the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result, obtain the Doppler frequency offset estimation result of the target DVB-S2 burst signal, etc.

[0174] As another aspect of the present invention, this embodiment further provides a computer program product according to the above embodiments, the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, when the program instructions are executed by a computer, the computer can execute the DVB-S2 burst signal Doppler frequency offset estimation method provided by the above method embodiments, the method for example comprising: based on the start domain information of the frame header in the target DVB-S2 burst signal, by using the L&R frequency offset estimation algorithm based on prior value compensation, calculating and obtaining the first frequency offset estimation result of the target DVB-S2 burst signal; decoding by Reed-Muller code, Decode the physical layer signaling domain information of the last L1 symbols of the frame header in the target DVB-S2 burst signal; based on the starting domain information and L1 physical layer signaling domain information, obtain the second frequency offset estimation result of the target DVB-S2 burst signal through a frequency domain algorithm; obtain all pilot block information of the target DVB-S2 burst signal, and obtain the third frequency offset estimation result of the target DVB-S2 burst signal by coherent accumulation and fast Fourier transform of all pilot block information; based on the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result, obtain a Doppler frequency offset estimation result of the target DVB-S2 burst signal, etc.

[0175] The electronic device, non-transitory computer-readable storage medium and computer program product provided by the present invention execute the steps of the method for estimating the Doppler frequency offset of a DVB-S2 burst signal described in the above embodiments, firstly use the start domain information of the frame header to perform a precise estimation of the first step of the L&R algorithm; then based on the physical layer signaling domain information and the start domain information after Reed-Muller code decoding, all the frame header information is used to further estimate the frequency offset through the frequency domain algorithm; finally, all the known pilot block information is used to perform a precise estimation through coherent accumulation and fast Fourier transform, and finally accurate and simple Doppler frequency offset estimation of the DVB-S2 burst signal is achieved.

[0176] It is understandable that the embodiments of the apparatus, electronic device, and storage medium described above are merely illustrative, and the units described as separate components may or may not be physically separated, and may be located in one place, or may be distributed on different network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0177] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk or an optical disk, etc., including a number of instructions to enable a computer device (such as a personal computer, a server, or a network device, etc.) to execute the methods described in the above method embodiments or some parts of the method embodiments.

[0178] In addition, it should be understood by those skilled in the art that, in the application documents of the present invention, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0179] In the specification of the present invention, a large number of specific details are described. However, it should be understood that embodiments of the present invention can be practiced without these specific details. In some examples, known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this specification. Similarly, it should be understood that in order to simplify the disclosure of the present invention and help understand one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure or description thereof.

[0180] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for estimating Doppler frequency deviation of a DVB-S2 burst signal, characterized in that: include: Based on the start domain information of the frame header in the target DVB-S2 burst signal, a first frequency offset estimation result of the target DVB-S2 burst signal is calculated and obtained by using an L&R frequency offset estimation algorithm based on prior value compensation; Decoding the physical layer signaling domain information of the last L1 symbols of the frame header in the target DVB-S2 burst signal by using the error control coding technology Reed-Muller code; Based on the starting domain information and the L1 physical layer signaling domain information, obtaining a second frequency offset estimation result of the target DVB-S2 burst signal through a frequency domain algorithm; Acquire all pilot block information of the target DVB-S2 burst signal, and acquire a third frequency offset estimation result of the target DVB-S2 burst signal by performing coherent accumulation and fast Fourier transform on all pilot block information; A Doppler frequency offset estimation result of the target DVB-S2 burst signal is acquired based on the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result.

2. The method for estimating the Doppler frequency deviation of a DVB-S2 burst signal according to claim 1, characterized in that: The method of calculating and obtaining a first frequency offset estimation result of the target DVB-S2 burst signal by using an L&R frequency offset estimation algorithm based on prior value compensation includes: Extracting the frame header of the target DVB-S2 burst signal, and stripping data from the frame header to obtain a first carrier; Performing an autocorrelation operation on the first carrier, and performing a smoothing operation by averaging the autocorrelation results to obtain an average autocorrelation noise reduction formula; Based on the average autocorrelation noise reduction formula, and a first formula derived from the average autocorrelation noise reduction formula through a geometric series summation formula and Euler's formula, the first frequency offset estimation result is calculated and obtained.

3. The method for estimating Doppler frequency deviation of a DVB-S2 burst signal according to claim 1, characterized in that: The obtaining, by using a frequency domain algorithm, a second frequency offset estimation result of the target DVB-S2 burst signal includes: Based on the starting domain information and L1 physical layer signaling domain information, data stripping is performed on the frame header information compensated by the prior value to obtain a second carrier; Perform a frequency domain estimation operation on the second carrier to obtain the second frequency offset estimation result.

4. The method for estimating the Doppler frequency deviation of a DVB-S2 burst signal according to claim 3, characterized in that: The frequency domain estimation operation includes a Fourier transform operation, and the maximum position of the spectrum modulus value peak of the result of the Fourier transform operation is k max ; Accordingly, The method further comprises: Based on k max The left neighbor k l and right neighbor k r , the approximate value of the parabolic function is derived as: Based on the approximate value △k, get the corrected position index And by indexing the corrected position Substitute the second frequency offset estimation result into the corrected second frequency offset estimation result.

5. The method for estimating the Doppler frequency offset of a DVB-S2 burst signal according to any one of claims 1 to 4, characterized in that: The obtaining of a third frequency offset estimation result of the target DVB-S2 burst signal comprises: Using the reference waveform of all the pilot block information, by coherently accumulating all the pilot block information, the data of the frame header is stripped; Perform a fast Fourier transform on the result of the data stripping, and obtain the third frequency offset estimation result based on the result of the fast Fourier transform.

6. The method for estimating Doppler frequency deviation of a DVB-S2 burst signal according to claim 1, characterized in that: The obtaining of a Doppler frequency offset estimation result of the target DVB-S2 burst signal includes: The first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result are superimposed, and combined with the captured Doppler frequency offset rough estimation result F d , calculate and obtain the Doppler frequency offset estimation result.

7. A device for estimating Doppler frequency deviation of a DVB-S2 burst signal, characterized in that: include: A first processing module is used to calculate and obtain a first frequency offset estimation result of the target DVB-S2 burst signal based on the start domain information of the frame header in the target DVB-S2 burst signal by using an L&R frequency offset estimation algorithm based on prior value compensation; The second processing module is used to decode the physical layer signaling domain information of the last L1 symbols of the frame header in the target DVB-S2 burst signal through Reed-Muller code decoding; A third processing module, configured to obtain a second frequency offset estimation result of the target DVB-S2 burst signal through a frequency domain algorithm based on the starting domain information and the L1 physical layer signaling domain information; a fourth processing module, configured to obtain all pilot block information of the target DVB-S2 burst signal, and obtain a third frequency offset estimation result of the target DVB-S2 burst signal by performing coherent accumulation and fast Fourier transform on all pilot block information; The operation output module is used to obtain a Doppler frequency offset estimation result of the target DVB-S2 burst signal based on the first frequency offset estimation result, the second frequency offset estimation result and the third frequency offset estimation result.

8. An electronic device comprising a memory, a processor, and a program or instruction stored in the memory and executable on the processor, characterized in that: When the processor executes the program or instruction, the steps of the method for estimating the Doppler frequency offset of a DVB-S2 burst signal according to any one of claims 1 to 6 are implemented.

9. A non-transitory computer-readable storage medium having a program or instruction stored thereon, characterized in that: When the program or instruction is executed by a computer, the steps of the method for estimating the Doppler frequency offset of a DVB-S2 burst signal according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program comprises program instructions. When the program instructions are executed by a computer, the computer can execute the DVB-S2 burst signal Doppler frequency offset estimation method according to any one of claims 1 to 6.

Images