A broadcast dual-mode coding modulation method and system based on multi-protocol fusion

Abstract

This invention provides a broadcast dual-mode coding and modulation method and system based on multi-protocol fusion, belonging to the field of broadcast technology. The method includes: acquiring multi-protocol raw data streams and mapping them to broadcast service data streams with unified protocol parameters; performing hierarchical differentiated coding on the broadcast service data streams based on service priority weighting factors to obtain hierarchical coded codeword streams; determining a modulation strategy and modulating the hierarchical coded codeword streams using the modulation strategy to obtain a baseband transmit signal; calculating the total original signal of multi-protocol superimposed transmission and determining heterogeneous protocol superimposed leakage components based on the total original signal of multi-protocol superimposed transmission and the baseband transmit signal; constructing an interleaved mapping matrix and performing row and column permutations on the heterogeneous protocol superimposed leakage components based on the interleaved mapping matrix to obtain carrier interference suppression components; and generating a noisy mixed signal based on the carrier interference suppression components and the baseband transmit signal. This invention supports multi-protocol coexistence and parallel transmission at the same frequency.

Description

Technical Field

[0001] This invention relates to the field of broadcasting technology, and more specifically to a broadcasting dual-mode coding and modulation method and system based on multi-protocol fusion. Background Technology

[0002] With the rapid development of new services such as smart broadcasting, vehicle-to-everything (V2X) broadcasting, and emergency all-area broadcasting, modern broadcast communication systems are exhibiting characteristics of protocol heterogeneity, service diversification, and scenario differentiation. Currently, the global digital broadcasting system has multiple parallel standards such as DTMB, DVB-T2, and ATSC 3.0. These protocols exhibit significant heterogeneity in coding rules, modulation methods, and frame structure design, resulting in industry pain points such as poor compatibility of broadcasting equipment, high costs of cross-scenario adaptation, and the inability to interoperate and reuse spectrum resources.

[0003] Meanwhile, traditional broadcasting systems generally adopt a static working mode of "fixed coding + single modulation", which cannot adapt to the QoS requirements of differentiated services such as high-definition live broadcasting, emergency short messages, and interactive on-demand. In scenarios with channel fluctuations and heterogeneous reception by multiple users, problems such as wasted spectrum resources or insufficient transmission reliability are likely to occur. Summary of the Invention

[0004] The purpose of this invention is to provide a broadcast dual-mode coding and modulation method and system based on multi-protocol fusion, so as to at least solve the problems of spectrum resource waste or insufficient transmission reliability that are prone to occur in the existing technology under channel fluctuation and multi-user heterogeneous reception scenarios.

[0005] To achieve the above objectives, a first aspect of the present invention provides a broadcast dual-mode coding and modulation method based on multi-protocol fusion, the method comprising: Obtain the raw data streams of multiple protocols, and map the raw data streams of multiple protocols to the broadcast service data streams with unified protocol parameters based on the protocol parameter mapping dictionary matrix; Determine the business priority weighting factor, and perform hierarchical differentiated coding on the broadcast service data stream based on the business priority weighting factor to obtain the hierarchical coded codeword stream; Based on the channel-aware dual-mode adaptive modulation mathematical model constructed with signal-to-noise ratio as the criterion, the modulation strategy is determined, and the layered coded codeword stream is modulated using the modulation strategy to obtain the baseband transmission signal; Calculate the total original signal transmitted by multiple protocols superimposed, and determine the heterogeneous protocol superposition leakage component based on the total original signal transmitted by multiple protocols superimposed and the baseband transmission signal; Construct an interleaved mapping matrix, and perform row and column permutations on the superimposed leakage components of heterogeneous protocols based on the interleaved mapping matrix to obtain carrier interference suppression components; Based on the carrier interference suppression component and the baseband transmitted signal, a noisy mixed signal is generated for input to the receiving end.

[0006] Preferably, the process involves acquiring the multi-protocol raw data stream and mapping it to a broadcast service data stream with unified protocol parameters based on a protocol parameter mapping dictionary matrix, including: Extract the standard protocol parameters corresponding to each protocol. The standard protocol parameters include: standard frame length, coding rate, subcarrier spacing, and cyclic prefix duration. Construct a protocol parameter mapping dictionary matrix based on standard protocol parameters; Perform validity checks on the multi-protocol raw data stream to obtain a set of valid protocol frames and a raw frame parameter statistics table, wherein the raw frame parameter statistics table includes frame length, subcarrier spacing and cyclic prefix duration; Based on the effective protocol frame set, the original frame parameter statistics table, and the protocol parameter mapping dictionary matrix, multi-protocol parameter normalization mapping and difference compensation are performed to obtain a multi-protocol normalized data stream. Perform standardized frame structure reconstruction on the multi-protocol normalized data stream to obtain a regularized data stream; Perform multi-protocol redundancy deduplication on the regular data stream to obtain a broadcast service data stream with unified protocol parameters.

[0007] Preferably, the hierarchical differentiated coding is an LDPC-Raptor dual-mode hierarchical coding system. The LDPC-Raptor dual-mode hierarchical coding system includes LDPC coding rules and Raptor coding rules. When the service priority weight factor is greater than a preset weight factor threshold, the LDPC coding rules are used to encode the broadcast service data stream; when the service priority weight factor is not greater than the preset weight factor threshold, the Raptor coding rules are used to encode the broadcast service data stream.

[0008] Preferably, the channel-aware dual-mode adaptive modulation mathematical model is as follows: ; In the formula, For the signal-to-noise ratio of broadcast service data streams, This is a channel-aware dual-mode adaptive modulation mathematical model; the modulation strategy includes OFDM index modulation and layered superposition modulation.

[0009] Preferably, the layered coded codeword stream includes a basic service layer coded codeword stream and a value-added service layer coded codeword stream. for: Perform normalization and synchronization alignment on the hierarchical encoded codeword stream to obtain the processed hierarchical encoded codeword stream. Based on constellation mapping rules, multi-level modulation is performed on the processed hierarchical coded codeword stream to obtain a two-layer normalized frequency domain symbol sequence. Based on the constrained optimization model and gradient iteration algorithm, the optimal power ratio of the hierarchical coded codeword stream is solved, and the corresponding optimal power is loaded onto the two-layer normalized frequency domain symbol sequence to generate power-weighted two-layer symbols. The power-weighted double-layer symbols are linearly superimposed to synthesize a unified time-domain baseband signal, which is then used as the baseband transmission signal.

[0010] Preferably, the constrained optimization model is:

[0011] In the formula, The transmit power corresponding to the basic service layer, R² is the transmit power corresponding to the value-added services layer, and P is the objective function. total For total power, BER1 is the bit error rate of the basic service layer, BER th For bit error rate threshold, For noise power, This is the guarantee factor for the transmit power of the basic service layer.

[0012] Preferably, the total original signal transmitted via the multi-protocol overlay is: Independent native channel coding and constellation modulation are performed on the raw data streams of multiple protocols to obtain heterogeneous time-domain baseband signals for each protocol; Linear superposition is performed on the heterogeneous time-domain baseband signals of each protocol to generate the original signal of multi-protocol superposition transmission.

[0013] Preferably, the method further includes: the receiving end performing layered iterative demodulation and interference stripping on the received noisy mixed signal to obtain a demodulated bit stream.

[0014] Secondly, the present invention provides a broadcast dual-mode coding and modulation system based on multi-protocol fusion, used to implement the above-mentioned broadcast dual-mode coding and modulation method based on multi-protocol fusion, the system comprising: The protocol mapping module is used to acquire raw data streams of multiple protocols and map them to broadcast service data streams with unified protocol parameters based on the protocol parameter mapping dictionary matrix. The data encoding module is used to determine the service priority weight factor, and perform hierarchical differentiated encoding on the broadcast service data stream based on the service priority weight factor to obtain the hierarchical encoded codeword stream; The data modulation module is used to determine the modulation strategy based on the channel-aware dual-mode adaptive modulation mathematical model constructed with the signal-to-noise ratio as the criterion, and to perform modulation on the hierarchical coded codeword stream using the modulation strategy to obtain the baseband transmission signal. The component calculation module is used to calculate the total original signal of the multi-protocol superimposed transmission and determine the heterogeneous protocol superimposed leakage component based on the total original signal of the multi-protocol superimposed transmission and the baseband transmission signal. The interference suppression module is used to construct an interleaved mapping matrix and perform row and column permutations on the superimposed leakage components of heterogeneous protocols according to the interleaved mapping matrix to obtain carrier interference suppression components. The signal synthesis module is used to generate a noisy mixed signal for input to the receiving end based on the carrier interference suppression component and the baseband transmitted signal.

[0015] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described broadcast dual-mode coding and modulation method based on multi-protocol fusion.

[0016] The beneficial effects of this invention are: 1. This invention maps multi-protocol raw data streams to broadcast service data streams with unified protocol parameters through a protocol parameter mapping dictionary matrix, thus enabling unified preprocessing of heterogeneous data; 2. This invention achieves differentiated layered transmission of high and low priority broadcast services through layered differentiated coding; it utilizes a channel-aware dual-mode adaptive modulation mathematical model to determine the modulation strategy, so as to balance system spectral efficiency and robustness to transmission in poor channels. 3. This invention performs row and column permutations on the superimposed leakage components of heterogeneous protocols through an interleaved mapping matrix, thereby achieving carrier pre-cancellation and hierarchical iterative demodulation to eliminate cross-protocol crosstalk, and improving transmission stability in complex scenarios with low complexity. 4. Compared with traditional single-protocol systems, this invention solves the problem of standard barriers, supports the coexistence and parallel transmission of multiple protocols on the same frequency, eliminates the need for multiple sets of equipment to be deployed in different areas, greatly reduces the cost of heterogeneous broadcast networking, and is fully compatible with various commercial broadcast terminals. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of the broadcast dual-mode coding and modulation method based on multi-protocol fusion provided by the present invention; Figure 2 This is a block diagram of the broadcast dual-mode coding and modulation system based on multi-protocol fusion provided by the present invention. Detailed Implementation

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in conjunction with the accompanying drawings and descriptions of the embodiments or the prior art. Obviously, the following description of the structure of the accompanying drawings is only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. It should be noted that the description of these embodiments is for the purpose of helping to understand the present invention, but does not constitute a limitation of the present invention.

[0019] Example 1 like Figure 1 As shown, this embodiment provides a broadcast dual-mode coding and modulation method based on multi-protocol fusion, the method comprising: Step S1: Obtain the multi-protocol raw data stream, and map the multi-protocol raw data stream to the broadcast service data stream with unified protocol parameters based on the protocol parameter mapping dictionary matrix.

[0020] In this embodiment of the invention, the multi-protocol raw data stream includes data streams of heterogeneous protocols such as DTMB, DVB-T2, and ATSC 3.0. The three major mainstream broadcast protocols, DTMB, DVB-T2, and ATSC 3.0, have significant heterogeneity in parameters such as frame length, coding rate, subcarrier spacing, and cyclic prefix duration. Direct co-frequency superposition and transmission will cause problems such as frame synchronization offset, coding redundancy mismatch, inter-carrier crosstalk, and constellation mapping conflict.

[0021] To address the aforementioned issues, the specific steps in this embodiment for mapping multi-protocol raw data streams to broadcast service data streams with unified protocol parameters are as follows: Extract standard protocol parameters corresponding to each protocol, including standard frame length, coding rate, subcarrier spacing, and cyclic prefix duration. Construct a protocol parameter mapping dictionary matrix based on the standard protocol parameters. Perform validity verification on the original multi-protocol data stream to obtain a set of valid protocol frames and a statistical table of original frame parameters, including frame length, subcarrier spacing, and cyclic prefix duration. Based on the set of valid protocol frames, the statistical table of original frame parameters, and the protocol parameter mapping dictionary matrix, perform multi-protocol parameter normalization mapping and difference compensation to obtain a multi-protocol normalized data stream. Perform standardized frame structure reconstruction on the multi-protocol normalized data stream to obtain a regularized data stream. Perform multi-protocol redundancy deduplication on the regularized data stream to obtain a broadcast service data stream with unified protocol parameters.

[0022] The functional expression for the protocol parameter mapping dictionary matrix is ​​as follows: ; In the formula, This is a dictionary matrix mapping protocol parameters, with the three rows corresponding to the three broadcast protocols DTMB, DVB-T2, and ATSC 3.0, respectively. These are the frame length parameters for the three protocol standards; These are the encoding bitrates for the three protocol standards; These are the subcarrier spacings for the three protocol standards; These represent the cyclic prefix durations for the three protocol standards.

[0023] This embodiment constructs a standardized parameter mapping dictionary matrix to achieve continuous normalization transformation of discrete parameters and outputs a unified and regular standardized data stream.

[0024] In the mapping steps described above, the validity verification of the multi-protocol raw data stream employs frame length constraints and error bit thresholds to achieve frame validity determination. The formula for single-frame validity determination is as follows: ; In the formula, This is a frame validity identifier, where 1 represents a valid frame and 0 represents an invalid or abnormal frame. The bit length of the current data frame to be detected; These are the minimum and maximum legal frame length thresholds for multi-protocol fusion frames, respectively. This represents the number of error bits detected in a single frame. The maximum permissible bit error threshold for a single frame is preset for the system.

[0025] In the above-mentioned multi-protocol parameter normalization mapping and difference compensation steps, global mean compensation is specifically used to achieve parameter alignment, as follows: First, calculate the deviation between the original protocol parameter vector and the protocol parameter mapping dictionary matrix: ; In the formula, This is a row vector matrix representing the differences in multi-protocol parameters; This refers to the deviation of different protocol frame lengths from the standard frame length. This refers to the deviation of the bitrate of different protocols from the standard bitrate. This refers to the deviation of the subcarrier spacing from the standard spacing for different protocols. This refers to the deviation of the cyclic prefix duration from the standard duration for different protocols. Then, heterogeneous differences are eliminated through global mean compensation: ; In the formula, For the first The normalized parameter vector after protocol normalization correction, i.e., the multi-protocol normalized data stream; For the first class protocol primitive parameter vector; For the first The parameter deviation vector of the class protocol; These correspond to the three protocols DTMB, DVB-T2, and ATSC 3.0, respectively.

[0026] In the above steps of performing standardized frame structure reconstruction on multi-protocol normalized data streams, the standardized frame structure reconstruction is as follows: Frame structure reconstruction is completed based on the standard frame length, and the formula for calculating the adaptive padding bit count is: ; The original effective frame bit length of the protocol is padded, and the structure, timing, and granularity of all protocol frames are completely unified.

[0027] When multiple protocols are transmitted simultaneously on the same frequency, different protocols share repetitive information such as common frame headers, fixed parity bits, and redundant padding fields. Invalid redundant data consumes limited broadcast bandwidth, reduces spectrum utilization, and increases computational overhead. This embodiment reduces invalid bandwidth overhead, simplifies the coded and modulated input data stream, and lowers system computational complexity, thereby improving spectrum utilization efficiency from a preprocessing perspective.

[0028] This embodiment defines the system redundancy quantification of the proportion of duplicate data, and outputs a clean data stream by eliminating redundancy: ; ; In the formula, To increase redundancy in multi-protocol overlay transmission systems; The total number of duplicate bits for the multi-protocol common frame header, duplicate check bits, and redundant padding fields; This represents the total number of bits transmitted via multiple protocols. The standardized, clean data stream after redundancy removal serves as the broadcast service data stream for the final unified protocol parameters; The data stream after it has been organized; This is a globally repetitive and redundant data bit stream.

[0029] As in this embodiment Step S2: Determine the service priority weight factor, and perform hierarchical differentiated coding on the broadcast service data stream based on the service priority weight factor to obtain the hierarchical coded codeword stream.

[0030] In this embodiment of the invention, the hierarchical differentiated coding is an LDPC-Raptor dual-mode hierarchical coding system. The LDPC-Raptor dual-mode hierarchical coding system includes LDPC coding rules and Raptor coding rules. When the service priority weight factor is greater than a preset weight factor threshold, the LDPC coding rules are used to encode the broadcast service data stream; when the service priority weight factor is not greater than the preset weight factor threshold, the Raptor coding rules are used to encode the broadcast service data stream.

[0031] The broadcasting system includes various services such as emergency broadcasting, high-definition live broadcasting, and interactive on-demand. Different services vary greatly in terms of urgency, reliability, and latency sensitivity. This embodiment calculates the service priority weight factor through multi-dimensional indicators and classifies the various services into basic services and value-added services based on the service priority weight factor.

[0032] Specifically, a weighted scoring system is constructed by selecting four dimensions: business urgency, QoS reliability, audience coverage level, and latency sensitivity. The comprehensive score and normalized weight formula are as follows: ; ; In the formula, For the first Comprehensive priority score for broadcast-like services; Fixed weights were assigned to the four-dimensional indicators to satisfy normalization constraints; The four-dimensional indicators are scored, with a range of [0, 10]. This is the business priority weighting factor, in the range [0,1]. , This represents the extreme value of the score. A threshold is set. Distinguish between high and low priority business processes.

[0033] In this embodiment, when the service priority weight factor is greater than or equal to 0.5, it indicates that the requirement for transmission reliability is extremely high, and the service type is a basic service; when the service priority weight factor is less than 0.5, it is necessary to ensure transmission efficiency, and the service type is a value-added service.

[0034] In this embodiment of the invention, the LDPC coding rule has extreme error correction performance and low error rate flat bottom characteristics. By fixing the high reliability code rate and sparse parity constraint, it greatly improves the error correction capability in bad channels and ensures zero interruption and low error transmission of core services.

[0035] LDPC encoding rules are based on optimizing a sparse parity-check matrix with low short-cycles. The codeword parity-check constraints and code rate formulas are as follows: ; ; In the formula, It is an LDPC sparse parity-check matrix; For LDPC codeword vectors; It is the transpose vector of the codeword; It is a zero vector; Fixed coding rate for LDPC; The effective information bit length for basic business operations; This represents the total codeword length after encoding.

[0036] In this embodiment of the invention, the redundancy of the Raptor coding rule can be dynamically adjusted according to the channel quality. A high signal-to-noise ratio reduces redundancy and increases transmission rate, while a low signal-to-noise ratio increases redundancy, so as to ensure transmission integrity and achieve a dynamic balance between efficiency and reliability.

[0037] Raptor coding rules dynamically adjust coding redundancy based on real-time SNR. The redundancy coefficient and codeword generation formula are as follows: ; ; In the formula, The coding redundancy coefficient changes dynamically with the signal-to-noise ratio; This is the redundancy adjustment coefficient; Generate a matrix for the Raptor encoding rules; This is the original information sequence for value-added services; This is the encoded verification sequence.

[0038] Therefore, after the encoding operation of the LDPC-Raptor dual-mode layered coding system, the resulting layered coded codeword stream includes a basic service layer coded codeword stream and a value-added service layer coded codeword stream. Step S3: Based on the channel-aware dual-mode adaptive modulation mathematical model constructed with signal-to-noise ratio as the criterion, determine the modulation strategy, and use the modulation strategy to modulate the hierarchical coded codeword stream to obtain the baseband transmission signal; In this embodiment of the invention, the traditional fixed modulation mode of broadcasting has poor adaptability to scenarios. Low-order modulation wastes spectrum resources under high signal-to-noise ratio, while high-order modulation causes a surge in bit errors under low signal-to-noise ratio, making it unable to adapt to dynamic channel fluctuations.

[0039] This embodiment designs a channel-aware dual-mode adaptive modulation mathematical model for SNR threshold decision, and the expression of the model is as follows: The channel-aware dual-mode adaptive modulation mathematical model is as follows: ; In the formula, For the signal-to-noise ratio of broadcast service data streams, The mathematical model for channel-aware dual-mode adaptive modulation is 15dB, which is the preset decision threshold for dual-mode modulation, to adapt to the differentiated transmission requirements of high and low signal-to-noise ratio scenarios; the modulation strategy includes OFDM index modulation and layered superposition modulation.

[0040] Among them, OFDM is orthogonal frequency division multiplexing. OFDM relies solely on constellation symbols to carry information, resulting in a large amount of idle subcarrier resources and limited room for improvement in spectrum utilization. In contrast, OFDM index modulation utilizes the active state of subcarriers to carry additional index bits, thereby tapping into idle subcarrier resources without increasing bandwidth or transmit power, effectively improving system transmission capacity and spectrum efficiency.

[0041] The functional relationship of OFDM indexed modulation in this embodiment is: ; ; ; In the formula, For the first Subcarrier activation state matrix; For spectral efficiency gain; Additional bandwidth capacity for index bits; This represents the total system bandwidth. For index-modulated time-domain baseband signals; For Fast Inverse Fourier Transform; It is a frequency domain constellation symbol sequence; This is an index bit mapping sequence.

[0042] As a further optimization of this embodiment, in low signal-to-noise ratio multipath fading scenarios, there is severe interference, index modulation is easily affected by interference and fails, and traditional modulation cannot meet the dual service transmission requirements.

[0043] This embodiment employs layered superposition modulation, which uses power layering for differentiated transmission and iterative optimal power allocation to prioritize the reliability of basic services while maximizing the retention of value-added service capacity, thereby achieving Pareto optimal transmission of dual services under adverse channel conditions.

[0044] Specifically, the aforementioned for: Step A1: Perform normalization and synchronization alignment on the layered coded codeword stream to obtain the processed layered coded codeword stream.

[0045] In this embodiment of the invention, the two codeword lengths and bit granularity output by the LDPC encoding rule and the Raptor encoding rule are different. Direct superposition will cause constellation mapping misalignment, timing mismatch and additional interference.

[0046] In this embodiment, the regularization and synchronization alignment are as follows: the layered encoded codeword streams of the two channels are padded and truncated to output a time-aligned standardized bit stream, with the number of service symbols of the two channels corresponding one-to-one.

[0047] Step A2: Based on the constellation mapping rules, perform multi-level modulation on the processed layered coded codeword stream to obtain a two-layer normalized frequency domain symbol sequence.

[0048] The functional relationship of the constellation mapping rule in this embodiment is: ; In the formula, For complex constellation modulation symbols; Mapping bits to orthogonal dimensions; These are the modulation order coefficients; This represents the average energy of a bit.

[0049] Step A3: Based on the constrained optimization model and gradient iteration algorithm, solve for the optimal power ratio of the hierarchical coded codeword stream, and load the corresponding optimal power onto the two-layer normalized frequency domain symbol sequence to generate power-weighted two-layer symbols.

[0050] In this embodiment of the invention, a fixed power allocation cannot adapt to channel fluctuations, which can easily lead to service performance imbalances. This embodiment uses multi-constraint iterative optimization to lock in the reliability baseline of basic services, maximize the transmission rate of value-added services, and achieve dynamic optimal power allocation.

[0051] Specifically, the constrained optimization model is as follows:

[0052] In the formula, The transmit power corresponding to the basic service layer, R² is the transmit power corresponding to the value-added services layer, and P is the objective function. total For total power, BER1 is the bit error rate of the basic service layer, BER th For bit error rate threshold, For noise power, This is the guarantee factor for the transmit power of the basic service layer.

[0053] Specifically, the gradient formula and iterative update rule of the gradient iteration algorithm are as follows: ; ; ; In the formula, This is the iteration step size.

[0054] Iterative convergence condition: ; Then, after iterative convergence, the optimal power pair is obtained. .

[0055] Step A4: Linearly superimpose the power-weighted double-layer symbols to synthesize a unified time-domain baseband signal, and use the unified time-domain baseband signal as the baseband transmission signal.

[0056] The unified time-domain baseband signal functional relationship in this embodiment is as follows: ; In the formula, It is a time-domain baseband signal after layered modulation; To achieve the optimal transmission power; It is a two-layer normalized frequency domain symbol sequence.

[0057] This embodiment generates a standardized transmittable baseband signal through layered superposition modulation, ensuring waveform stability and spectral regularity for multi-protocol superposition transmission.

[0058] Step S4: Calculate the total original signal of the multi-protocol superimposed transmission. Based on the total original signal of the multi-protocol superimposed transmission and the baseband transmission signal, determine the heterogeneous protocol superimposed leakage component.

[0059] In this embodiment of the invention, multi-protocol co-frequency transmission generates cross-protocol crosstalk and frame timing deviations, severely affecting demodulation accuracy. Modulation coding optimization alone cannot completely eliminate the interference. Therefore, this embodiment significantly improves transmission stability in complex scenarios by eliminating heterogeneous interference bidirectionally from both the source and the receiver.

[0060] Specifically, the total original signal for multi-protocol superposition transmission is generated by performing independent native channel coding and constellation modulation on the original data streams of the multi-protocols to obtain heterogeneous time-domain baseband signals of each protocol; and by performing linear superposition on the heterogeneous time-domain baseband signals of each protocol to generate the total original signal for multi-protocol superposition transmission.

[0061] The functional expression for the total original signal transmitted via multi-protocol superposition in this embodiment is: ; In the formula, These are heterogeneous time-domain baseband signals modulated by three different protocols. The original signal is transmitted by superimposing multiple protocols.

[0062] Therefore, the superimposed leakage component of heterogeneous protocols is: ; In the formula, This involves superimposing leaked components onto heterogeneous protocols, i.e., cross-protocol crosstalk. This is the baseband transmit signal output in step S4.

[0063] Step S5: Construct an interleaved mapping matrix, and perform row and column permutations on the heterogeneous protocol superimposed leakage components according to the interleaved mapping matrix to obtain carrier interference suppression components.

[0064] In an embodiment of the present invention, the steps for constructing the interleaved mapping matrix are as follows: 1. Extract all even-indexed subcarriers : ; 2. Extract all odd-indexed subcarriers : ; 3. Interleave and splice to generate a new index sequence The even-first, then odd-first segmentation and fusion yields a decorrelated interleaved index. ; This rule can completely break up the originally continuous adjacent and strongly interfering subcarriers, and transform centralized cross-protocol crosstalk into uniformly distributed weak interference, which is convenient for subsequent matrix pre-cancellation.

[0065] 4. Traverse all subcarrier indices, establish a one-to-one mapping relationship between the original positions and the interleaved positions, and obtain the interleaving mapping matrix. ; .

[0066] After obtaining the interleaving mapping matrix, crosstalk pre-cancellation is achieved through the subcarrier interleaving permutation matrix. The residual interference optimization formula is as follows: ; In the formula, E represents the carrier interference suppression component to eliminate crosstalk, and E is the identity matrix.

[0067] Step S6: Based on the carrier interference suppression component and the baseband transmitted signal, a noisy mixed signal is generated for transmission to the receiving end. In this embodiment, the noisy mixed signal... The function expression is: ; In the formula, It is Gaussian white noise.

[0068] As a further optimization of this embodiment, the method further includes: the receiving end performs layered iterative demodulation and interference stripping on the received noisy mixed signal to obtain a demodulated bit stream.

[0069] Even after the pre-suppression steps S4 and S5 at the transmitting end, a small amount of residual crosstalk still exists in this embodiment, resulting in bit error rate deviations during direct demodulation at the receiving end. Therefore, the receiving end employs layered iterative demodulation to gradually remove interference. The iterative demodulation relationship of the noisy signal Y(t) at the receiving end is as follows: ; ; In the formula, This is the iterative estimate of the two-layer service signal. The convergence threshold is used to output a clean dual-service demodulated bitstream after iterative convergence.

[0070] Compared to traditional single-protocol systems, this invention solves the problem of standard barriers, supports the coexistence and parallel transmission of multiple protocols on the same frequency, eliminates the need for multiple sets of equipment to be deployed in different areas, significantly reduces the cost of heterogeneous broadcast networking, and is fully compatible with various commercial broadcast terminals.

[0071] Example 2 Figure 2 This is a block diagram of a broadcast dual-mode coding and modulation system based on multi-protocol fusion provided by one embodiment of the present invention. Figure 2 As shown, this embodiment provides a broadcast dual-mode coding and modulation system based on multi-protocol fusion, used to implement the broadcast dual-mode coding and modulation method based on multi-protocol fusion in Embodiment 1. The system includes: The protocol mapping module is used to acquire raw data streams of multiple protocols and map them to broadcast service data streams with unified protocol parameters based on the protocol parameter mapping dictionary matrix. The data encoding module is used to determine the service priority weight factor, and perform hierarchical differentiated encoding on the broadcast service data stream based on the service priority weight factor to obtain the hierarchical encoded codeword stream; The data modulation module is used to determine the modulation strategy based on the channel-aware dual-mode adaptive modulation mathematical model constructed with the signal-to-noise ratio as the criterion, and to perform modulation on the hierarchical coded codeword stream using the modulation strategy to obtain the baseband transmission signal. The component calculation module is used to calculate the total original signal of the multi-protocol superimposed transmission and determine the heterogeneous protocol superimposed leakage component based on the total original signal of the multi-protocol superimposed transmission and the baseband transmission signal. The interference suppression module is used to construct an interleaved mapping matrix and perform row and column permutations on the superimposed leakage components of heterogeneous protocols according to the interleaved mapping matrix to obtain carrier interference suppression components. The signal synthesis module is used to generate a noisy mixed signal for input to the receiving end based on the carrier interference suppression component and the baseband transmitted signal.

[0072] This embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the broadcast dual-mode coding modulation method based on multi-protocol fusion in Embodiment 1.

[0073] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the broadcast dual-mode coding modulation method based on multi-protocol fusion in Embodiment 1.

[0074] Compared to traditional single-protocol systems, this invention solves the problem of standard barriers, supports the coexistence and parallel transmission of multiple protocols on the same frequency, eliminates the need for multiple sets of equipment to be deployed in different areas, significantly reduces the cost of heterogeneous broadcast networking, and is fully compatible with various commercial broadcast terminals.

[0075] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0076] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.

[0077] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method of broadcast dual mode coding modulation based on multi-protocol convergence, characterized in that, The method includes: Obtain the raw data streams of multiple protocols, and map the raw data streams of multiple protocols to the broadcast service data streams with unified protocol parameters based on the protocol parameter mapping dictionary matrix; Determine the business priority weighting factor, and perform hierarchical differentiated coding on the broadcast service data stream based on the business priority weighting factor to obtain the hierarchical coded codeword stream; Based on the channel-aware dual-mode adaptive modulation mathematical model constructed with signal-to-noise ratio as the criterion, the modulation strategy is determined, and the layered coded codeword stream is modulated using the modulation strategy to obtain the baseband transmission signal; Calculate the total original signal transmitted by multiple protocols superimposed, and determine the heterogeneous protocol superposition leakage component based on the total original signal transmitted by multiple protocols superimposed and the baseband transmission signal; Construct an interleaved mapping matrix, and perform row and column permutations on the superimposed leakage components of heterogeneous protocols based on the interleaved mapping matrix to obtain carrier interference suppression components; Based on the carrier interference suppression component and the baseband transmitted signal, a noisy mixed signal is generated for input to the receiving end.

2. The multi-protocol fusion based broadcast dual mode coding modulation method according to claim 1, wherein, Obtain the raw data streams of multiple protocols, and map them to broadcast service data streams with unified protocol parameters based on the protocol parameter mapping dictionary matrix, including: Extract the standard protocol parameters corresponding to each protocol. The standard protocol parameters include: standard frame length, coding rate, subcarrier spacing, and cyclic prefix duration. Construct a protocol parameter mapping dictionary matrix based on standard protocol parameters; Perform validity checks on the multi-protocol raw data stream to obtain a set of valid protocol frames and a raw frame parameter statistics table, wherein the raw frame parameter statistics table includes frame length, subcarrier spacing and cyclic prefix duration; Based on the effective protocol frame set, the original frame parameter statistics table, and the protocol parameter mapping dictionary matrix, multi-protocol parameter normalization mapping and difference compensation are performed to obtain a multi-protocol normalized data stream. Perform standardized frame structure reconstruction on the multi-protocol normalized data stream to obtain a regularized data stream; Perform multi-protocol redundancy deduplication on the regular data stream to obtain a broadcast service data stream with unified protocol parameters.

3. The multi-protocol fusion based broadcast dual mode coding modulation method according to claim 1, wherein, The hierarchical differentiated coding is an LDPC-Raptor dual-mode hierarchical coding system. The LDPC-Raptor dual-mode hierarchical coding system includes LDPC coding rules and Raptor coding rules. When the service priority weight factor is greater than the preset weight factor threshold, the LDPC coding rules are used to encode the broadcast service data stream; when the service priority weight factor is not greater than the preset weight factor threshold, the Raptor coding rules are used to encode the broadcast service data stream.

4. The multi-protocol fusion based broadcast dual mode coding and modulation method according to claim 1, wherein, The channel-aware dual-mode adaptive modulation mathematical model is as follows: ； In the formula, The signal-to-noise ratio of the broadcast service data stream, The channel-aware dual-mode adaptive modulation mathematical model; the modulation strategy comprises OFDM index modulation and hierarchical superposition modulation.

5. The broadcast dual-mode coding and modulation method based on multi-protocol fusion according to claim 4, characterized in that, The layered coding codeword stream comprises a base service layer coding codeword stream and a value-added service layer coding codeword stream, and the is: Perform normalization and synchronization alignment on the hierarchical encoded codeword stream to obtain the processed hierarchical encoded codeword stream; Based on constellation mapping rules, multi-level modulation is performed on the processed hierarchical coded codeword stream to obtain a two-layer normalized frequency domain symbol sequence. Based on the constrained optimization model and gradient iteration algorithm, the optimal power ratio of the hierarchical coded codeword stream is solved, and the corresponding optimal power is loaded onto the two-layer normalized frequency domain symbol sequence to generate power-weighted two-layer symbols. The power-weighted double-layer symbols are linearly superimposed to synthesize a unified time-domain baseband signal, which is then used as the baseband transmission signal.

6. The broadcast dual-mode coding and modulation method based on multi-protocol fusion according to claim 5, characterized in that, The constrained optimization model is as follows: In the formula, The transmit power corresponding to the basic service layer, R² is the transmit power corresponding to the value-added services layer, and P is the objective function. total For total power, BER1 is the bit error rate of the basic service layer, BER th For bit error rate threshold, For noise power, This is the guarantee factor for the transmit power of the basic service layer.

7. The broadcast dual-mode coding and modulation method based on multi-protocol fusion according to claim 1, characterized in that, The total original signal transmitted via the multi-protocol overlay is: Independent native channel coding and constellation modulation are performed on the raw data streams of multiple protocols to obtain heterogeneous time-domain baseband signals for each protocol; Linear superposition is performed on the heterogeneous time-domain baseband signals of each protocol to generate the original signal of multi-protocol superposition transmission.

8. The broadcast dual-mode coding and modulation method based on multi-protocol fusion according to claim 1, characterized in that, The method further includes: the receiving end performs layered iterative demodulation and interference stripping on the received noisy mixed signal to obtain a demodulated bit stream.

9. A broadcast dual-mode coding and modulation system based on multi-protocol fusion, used to implement the broadcast dual-mode coding and modulation method based on multi-protocol fusion as described in any one of claims 1-8, characterized in that, The system includes: The protocol mapping module is used to acquire raw data streams of multiple protocols and map them to broadcast service data streams with unified protocol parameters based on the protocol parameter mapping dictionary matrix. The data encoding module is used to determine the service priority weight factor, and perform hierarchical differentiated encoding on the broadcast service data stream based on the service priority weight factor to obtain the hierarchical encoded codeword stream; The data modulation module is used to determine the modulation strategy based on the channel-aware dual-mode adaptive modulation mathematical model constructed with the signal-to-noise ratio as the criterion, and to perform modulation on the hierarchical coded codeword stream using the modulation strategy to obtain the baseband transmission signal. The component calculation module is used to calculate the total original signal of the multi-protocol superimposed transmission and determine the heterogeneous protocol superimposed leakage component based on the total original signal of the multi-protocol superimposed transmission and the baseband transmission signal. The interference suppression module is used to construct an interleaved mapping matrix and perform row and column permutations on the superimposed leakage components of heterogeneous protocols according to the interleaved mapping matrix to obtain carrier interference suppression components. The signal synthesis module is used to generate a noisy mixed signal for input to the receiving end based on the carrier interference suppression component and the baseband transmitted signal.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the broadcast dual-mode coding modulation method based on multi-protocol fusion as described in any one of claims 1-8.

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