FSK-based hybrid modulation signal phase transition method and system

Abstract

The invention provides an FSK-based hybrid modulation signal phase transition method and system. The method comprises the following steps: acquiring and identifying a current signal model type as a continuous model or a discrete model; if the type of the signal model is a continuous model, calculating a polynomial function waveform f (t) according to the phase theta 1 (t) of the first code element modulation waveform and the phase theta 2 (t) of the second code element modulation waveform to modify the phase from theta 1 (t) to theta 2 (t) so as to realize smooth transition of the phase; and if the type of the signal model is a discrete model, calculating a polynomial function waveform f (n) according to the phase theta 1 (n) of the previous code element modulation waveform and the phase theta 2 (n) of the current code element modulation waveform to modify the phase from theta 1 (n) to theta 2 (n) so as to realize smooth transition of the phase. The invention provides an FSK (Frequency Shift Keying)-based hybrid modulation signal phase transition method and an FSK-based hybrid modulation signal phase transition system, which can enable phases of modulated adjacent code element modulation waveforms to be continuous and can improve the problem of signal spectrum broadening caused by discontinuous phases of the adjacent code element modulation waveforms.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, and more specifically, to a hybrid modulation signal phase transition method and system based on FSK. Background Art

[0002] In the prior art, for solving the technical problem of large out-of-band leakage of differential phase shift keying (DPSK) modulation, an existing solution is the window transition method introduced in Chinese patent 202210685088.X, which divides the bit sequence to be sent into a first bit sequence and a second bit sequence, and performs FSK / DPSK mixed modulation on the first bit sequence and the second bit sequence respectively to obtain corresponding first coding sequence modulation waveform and second coding sequence modulation waveform; the length of the first coding sequence modulation waveform and the second coding sequence modulation waveform are both M, and waveforms of length M1 are taken from the end of the first waveform and the beginning of the second waveform respectively, where 0<2M1<M, and the two waveforms of length M1 taken in phase are two inclined line segments, denoted as l1 and l2, and the slope corresponds to the FSK modulation Frequency, and there is a phase jump introduced by differential phase modulation between the two segments. In order to reduce the out-of-band leakage caused by the phase jump, the window transition method extends l2 in the direction of the first waveform, that is, forward a segment of length M1, recorded as l2′, multiply l2′ by the left half of the raised cosine window and add l1 by the right half of the raised cosine window. The result is the left half of the smooth transition data between the two waveforms. Similarly, the right half of the smooth transition data is also l1 in the direction of the second waveform, that is, backward extended by a segment of length M1, recorded as l1′, multiply l1′ by the left half of the raised cosine window and add l2 by the right half of the raised cosine window; and so on, the jumps between each subsequent two modulation waveforms are smoothed through the raised cosine window, and finally the modulation sequence to be sent is formed.

[0003] However, in the context of the above transition method, although the phases of two adjacent modulation waveforms are smoothly transitioned, the ACLR performance is still poor, the out-of-band leakage power is large, and there is a large interference to the adjacent channel signal. ACLR (Adjacent Channel Leakage Ratio) refers to the adjacent channel leakage ratio, also known as ACPR (Adjacent Channel Power Ratio), which refers to the ratio of the main channel power to the adjacent channel power, that is, the ratio of the average power of the adjacent frequency channel to the average power of the currently used channel.

[0004] Therefore, there is an urgent need for a new FSK-based hybrid modulation signal phase transition method and system to solve the above problems. Summary of the invention

[0005] The present invention provides a method for overcoming the above problems or at least partially solving the above problems. The present invention provides a method and system for phase transition of a hybrid modulation signal based on FSK. In a first aspect, an embodiment of the present invention provides a method for phase transition of a hybrid modulation signal based on FSK, comprising:

[0006] Obtain and identify the current signal model type as a continuous model or a discrete model;

[0007] If the signal model type is a continuous model, a polynomial function waveform f(t) is calculated to modify the phase from θ1(t) to θ2(t) according to the phase θ1(t) of the first symbol modulation waveform and the phase θ2(t) of the second symbol modulation waveform to achieve a smooth transition of the phase;

[0008] If the signal model type is a discrete model, the polynomial function waveform f(n) is calculated based on the phase θ1(n) of the previous code modulation waveform and the phase θ2(n) of the current code modulation waveform to modify the phase from θ1(n) to θ2(n) to achieve a smooth transition of the phase.

[0009] Among them, in the phase θ1(t) of the first codeword modulation waveform, t∈[0,T), in the phase θ2(t) of the second codeword modulation waveform, t∈[T,2T), T is the time of one codeword modulation waveform; in the phase θ1(n) of the previous codeword modulation waveform, n∈[0,N-1], in the phase θ2(n) of the current codeword modulation waveform, n∈[N,2N-1], N is the number of sampling points of one codeword modulation waveform.

[0010] If the signal model type is a continuous model, the polynomial function waveform f(t) is calculated to modify the phase from θ1(t) to θ2(t) according to the phase θ1(t) of the first symbol modulation waveform and the phase θ2(t) of the second symbol modulation waveform to achieve a smooth transition of the phase, specifically including:

[0011] Replace the phase of the first symbol t∈[T-T1,T) and the phase of the second symbol t∈[T,T+T1) with f(t), and calculate the phase f(t)=α at time [T-T1,T+T1) m ·t m +α m-1 ·t m-1 +α m-2 ·t m-2 +...+α0, where T-T1≤t<T+T1, T is the time length of a symbol modulation waveform, 2T1 is the time length of a transition waveform, 0<2T1<T, m is the highest degree of the phase waveform polynomial, a m ,a m-1 ,...,a0 are the m+1 coefficients of the polynomial.

[0012] If the signal model type is a discrete model, the polynomial function waveform f(n) is calculated according to the phase θ1(n) of the previous symbol modulation waveform and the phase θ2(n) of the current symbol modulation waveform to modify the phase from θ1(n) to θ2(n) to achieve a smooth transition of the phase, which specifically includes:

[0013] Replace the phase of the previous symbol n∈[N-N1,N-1] and the phase of the current symbol n∈[N,N+N1-1] with f(n), and calculate the phase f(n)=α at time [N-N1,N+N1-1] m ·n m +α m-1 ·n m-1 +α m-2 ·n m-2 +...+α0, where N-N1≤n≤N+N1-1, N is the number of sampling points of a symbol modulation waveform, 2N1 is the number of sampling points of the transition waveform, 0<2N1<N, m is the highest degree of the phase waveform polynomial, a m ,a m-1 ,...,a0 are the m+1 coefficients of the polynomial.

[0014] Wherein, the method further comprises:

[0015] For the continuous model, the m+1 coefficients a of the m-order polynomial function f(t) m ,a m-1 ,...,a0 is calculated by the following m+1 equations:

[0016]

[0017] Where θ1(t)=α+ω1t,t∈[0,T), ω1=2πf1; θ2(t)=β+ω2t,t∈[T,2T), ω2=2πf2, f′(t) and f″(t) are the first and second derivatives of the function f(t), θ′(t) and θ″(t) are the first and second derivatives of the phase function θ(t), and so on; f1 and f2 are elements in the FSK discrete frequency set, α and β are the initial phases of the first codeword modulation waveform and the second codeword modulation waveform.

[0018] Wherein, the method further comprises:

[0019] For the m+1 coefficients a of the m-order polynomial function f(n) of the discrete model m ,a m-1 ,...,a0 is calculated by the following m+1 equations:

[0020]

[0021] in n∈[0,N-1],ω1=2πf1; n∈[N,2N-1],ω2=2πf2,f s is the sampling rate of one symbol, Δ is the differential symbol, Δf(n)=f(n)-f(n-1), Δ(Δf(n))=Δf(n)-Δf(n-1), Δθ(n)=θ(n)-θ(n-1), Δ(Δθ(n))=Δθ(n)-Δθ(n-1), and so on; f1 and f2 are elements in the FSK discrete frequency set, α and β are the initial phases of the previous codeword modulation waveform and the current codeword modulation waveform.

[0022] Wherein, the method further comprises:

[0023] The waveform in front of the first code element of the first data packet is a polynomial transition waveform, which is a transition waveform obtained by calculating the polynomial function between the signal waveform before sending the first data packet and the first code element waveform; the waveform after the last code element of the first data packet is a polynomial transition waveform, which is a transition waveform obtained by calculating the polynomial function between the last code element of the first data packet and the signal waveform to be sent next, and so on.

[0024] According to a second aspect provided by the present invention, the present application provides a hybrid modulation signal phase transition system based on FSK, comprising:

[0025] A model confirmation module is used to obtain and identify whether the current signal model type is a continuous model or a discrete model;

[0026] The first type of smooth transition module is used for calculating the polynomial function waveform f(t) to modify the phase from θ1(t) to θ2(t) according to the phase θ1(t) of the first symbol modulation waveform and the phase θ2(t) of the second symbol modulation waveform to achieve a smooth transition of the phase if the signal model type is a continuous model;

[0027] The second type of smooth transition module is used to calculate the polynomial function waveform f(n) to modify the phase from θ1(n) to θ2(n) according to the phase θ1(n) of the previous code modulation waveform and the phase θ2(n) of the current code modulation waveform if the signal model type is a discrete model, so as to achieve a smooth transition of the phase.

[0028] According to the third aspect provided by the present invention, the present application also provides an electronic device, which includes: a processor; a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the method described in any one of the first aspects is implemented.

[0029] According to a fourth aspect provided by the present invention, the present application further provides a computer-readable storage medium storing computer program instructions, which, when executed by a computer, enables the computer to execute any one of the methods described in the first aspect.

[0030] The present invention provides a hybrid modulation signal phase transition method and system based on FSK, which can make the phase of adjacent modulated symbol modulation waveforms continuous and improve the signal spectrum broadening problem caused by the discontinuous phase of adjacent symbol modulation waveforms. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of a phase transition method of a hybrid modulation signal based on FSK provided by an embodiment of the present invention;

[0032] Figure 2 is a phase transition schematic diagram of a continuous model provided by an embodiment of the present invention;

[0033] Figure 3 is a phase transition schematic diagram of a discrete model provided in an embodiment of the present invention;

[0034] Figure 4 is a phase transition effect diagram under the discrete model provided by an embodiment of the present invention;

[0035] Figure 5 It is a power spectrum diagram comparing polynomial phase transition and window phase transition under the discrete model provided by an embodiment of the present invention;

[0036] Figure 6 It is a structural schematic diagram of a hybrid modulation signal phase transition system based on FSK provided by an embodiment of the present invention;

[0037] Figure 7 A structural schematic diagram of an electronic device is illustrated. DETAILED DESCRIPTION

[0038] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0039] Figure 1 FIG. 1 is a flow chart of a hybrid modulation signal phase transition method based on FSK provided by an embodiment of the present invention, such as Figure 1 As shown, including:

[0040] 101. Obtain and identify whether the current signal model type is a continuous model or a discrete model;

[0041] 102. If the signal model type is a continuous model, a polynomial function waveform f(t) is calculated to modify the phase from θ1(t) to θ2(t) according to the phase θ1(t) of the first symbol modulation waveform and the phase θ2(t) of the second symbol modulation waveform to achieve a smooth transition of the phase;

[0042] 103. If the signal model type is a discrete model, the polynomial function waveform f(n) is calculated according to the phase θ1(n) of the previous code modulation waveform and the phase θ2(n) of the current code modulation waveform to modify the phase from θ1(n) to θ2(n) to achieve a smooth transition of the phase.

[0043] It is understandable that the embodiment of the present invention presets strategies for different types of signal models respectively. Therefore, in step 101, it is necessary to first determine the type of the current signal model and then use the corresponding preset strategy for smooth transition.

[0044] Specifically, in step 102, for the continuous model, within the time range of each symbol modulation waveform, the phase change is linear, where A is the phase of the starting point of symbol modulation waveform 1, B is the phase of the ending point of symbol modulation waveform 1, C is the phase of the starting point of symbol modulation waveform 2, and D is the phase of the ending point of symbol modulation waveform 2. The length of each symbol modulation waveform is T. The signal phase transition scheme proposed here is that the phase C of symbol modulation waveform 2 at time T and the phase B of symbol modulation waveform 1 at time T jump θ, and then the phase of symbol modulation waveform 1 at time T-T1 is changed. The phase of the symbol modulation waveform 2 at time T+T1 is Perform smooth phase transition.

[0045] In step 103, for the discrete model, A is the phase of the starting point of the symbol modulation waveform 1, B is the phase of the ending point of the symbol modulation waveform 1, C is the phase of the starting point of the symbol modulation waveform 2, D is the phase of the ending point of the symbol modulation waveform 2, and the length of each symbol modulation waveform is N. The signal phase transition scheme proposed here is that the phase C of the symbol modulation waveform 2 at point N and the phase B of the symbol modulation waveform 1 at point N-1 jump θ, and then the phase of the symbol modulation waveform 1 at point N-N1 is To the phase of code element modulation waveform 2 at point N+N1-1 Perform a smooth phase transition with a transition length of 2N1.

[0046] The present invention provides a hybrid modulation signal phase transition method based on FSK, which can make the phase of adjacent modulated symbol modulation waveforms continuous and improve the signal spectrum broadening problem caused by the discontinuous phase of adjacent symbol modulation waveforms.

[0047] Based on the above embodiment, in the phase θ1(t) of the first symbol modulation waveform, t∈[0,T), in the phase θ2(t) of the second symbol modulation waveform, t∈[T,2T), T is the time of one symbol modulation waveform; in the phase θ1(n) of the previous symbol modulation waveform, n∈[0,N-1], in the phase θ2(n) of the current symbol modulation waveform, n∈[N,2N-1], N is the number of sampling points of one symbol modulation waveform.

[0048] Specifically, take the first two symbols of the pilot symbol as an example, the complex number of the modulation waveform of these two symbols is [1 -1], and the waveform is [S1 S2], Figure 2 is a phase transition diagram of a continuous model provided in an embodiment of the present invention, Figure 3 is a phase transition diagram of a discrete model provided in an embodiment of the present invention, such as Figure 2 and Figure 3 As shown, the complex number of the first modulation waveform of the leading code element is 1, and the waveform is The complex number of the second modulation waveform is -1, and the waveform is Where f1 = 1.5, f4 = -1.5, N = 320, where 0 ≤ n ≤ N-1, N represents the number of sampling points of each waveform, and the modulation waveform S1 is The modulation waveform S2 is To perform a smooth phase transition:

[0049] Where A is the phase of the starting point of the symbol modulation waveform S1 starting from 0, B is the phase of the ending point of the symbol modulation waveform S1, C is the phase of the starting point of the symbol modulation waveform S2, and D is the phase of the ending point of the symbol modulation waveform S2. The length of each symbol modulation waveform is N = 320. The signal phase transition scheme proposed here, the phase difference between the phase C of the symbol modulation waveform 2 at point N and the phase B of the symbol modulation waveform 1 at point N-1 is Then the phase of symbol modulation waveform 1 at point N-N1 is To the phase of code element modulation waveform 2 at point N+N1-1 The phase transition is performed, and the transition length is 2N1, where N1=79. The polynomial curve uses a quintic curve, and its coefficients are calculated by the continuity of the phase of the previous and next points, the continuity of the first-order derivative of the phase of the previous and next points, and the continuity of the second-order derivative of the phase of the previous and next points. There are M*N possibilities for the M-order FSK and N-order DPSK modulation of a symbol, so there are M consecutive symbols. 2 *N 2There are 256 connection transitions. In this simulation, 4FSK and DQPSK with M=N=4 are used. The fifth-order polynomial coefficients of one transition are: α1=-5.84e-11, α2=2.61e-08, α3=-3.41e-06, α4=1.98e-05, α5=9.33e-03, α6=3.23.

[0050] According to the ACLR measurement method, the measurement bandwidth is 8.5KHz, the channel spacing is 12.5KHz, and the resolution bandwidth is adjusted to 100Hz, and the video resolution bandwidth is 1KHz; the bandwidth of this signal is 4.92KHz, so the main channel integral bandwidth on the PSD graph is 4.92KHz, and the adjacent channel spacing is 12.5KHz. Therefore, the first adjacent channel integral range on the PSD graph is [12.5-8.5 / 2,12.5+8.5 / 2]KHz, and similarly the second adjacent channel integral range is [25-8.5 / 2,25+8.5 / 2]KHz. The simulation results in Table 1 are obtained.

[0051] Table 1

[0052]

[0053]

[0054] Replace the phase of the previous symbol n∈[N-N1,N-1] and the phase of the current symbol n∈[N,N+N1-1] with f(n), and calculate the phase f(n)=α at time [N-N1,N+N1-1] m ·n m +α m-1 ·n m-1 +α m-2 ·n m-2 +...+α0, where N-N1≤n≤N+N1-1, N is the number of sampling points of a symbol modulation waveform, 2N1 is the number of sampling points of the transition waveform, 0<2N1<N, m is the highest degree of the phase waveform polynomial, a m ,a m-1 ,...,a0 are the m+1 coefficients of the polynomial.

[0055] For the m+1 coefficients a of the m-order polynomial function f(n) of the discrete model m ,a m-1 ,...,a0 is calculated by the following m+1 equations:

[0056]

[0057] in n∈[0,N-1],ω1=2πf1; n∈[N,2N-1],ω2=2πf2,f s is the sampling rate of one symbol, Δ is the differential symbol, Δf(n)=f(n)-f(n-1), Δ(Δf(n))=Δf(n)-Δf(n-1), by the same token, Δθ(n)=θ(n)-θ(n-1), Δ(Δθ(n))=Δθ(n)-Δθ(n-1), and so on. f1 and f2 are elements in the FSK discrete frequency set, α and β are the initial phases of the previous code modulation waveform and the current code modulation waveform.

[0058] Then the first leading code element of each data packet modulates the waveform The phase starts from 0, and the ending phase of the last transition codeword modulation waveform of each data packet returns to 0. This has the advantage that the phase between two adjacent data packets is continuous, and the transition codeword modulation waveform has no practical meaning.

[0059] Figure 4 is a phase transition effect diagram under the discrete model provided by an embodiment of the present invention, Figure 5 1 is a power spectrum diagram comparing the polynomial phase transition and the window phase transition under the discrete model provided by the embodiment of the present invention. Table 1 is an ACLR comparison diagram for the polynomial phase transition and the window phase transition. Figure 4 and Figure 5 As shown and combined with the data in Table 1, an FSK-based hybrid modulation signal phase transition method and system provided in an embodiment of the present invention can make the phases of adjacent modulated waveforms continuous and improve the out-of-band leakage problem of the modulation signal spectrum.

[0060] On the basis of the above embodiment, the phase jump θ of the phase C of the second symbol modulation waveform at time T and the phase B of the first symbol modulation waveform at time T is obtained, and the phase of the first symbol modulation waveform at time T-T1 is obtained. The phase of the second symbol modulation waveform at time T+T1 Perform smooth phase transition, including:

[0061] Replace the phase of the first symbol t∈[T-T1,T) and the phase of the second symbol t∈[T,T+T1) with f(t), and calculate the phase f(t)=α at time [T-T1,T+T1) m ·t m +α m-1 ·t m-1 +α m-2 ·t m-2 +...+α0, where T-T1≤t<T+T1, T is the time length of a symbol modulation waveform, 2T1 is the time length of a transition waveform, 0<2T1<T, m is the highest degree of the phase waveform polynomial, a m,a m-1 ,...,a0 are the m+1 coefficients of the polynomial.

[0062] Based on the above embodiment, the phase jump θ of the phase C of the second symbol modulation waveform at point N and the phase B of the first symbol modulation waveform at point N-1 is obtained, and the phase jump θ of the first symbol modulation waveform at point N-N1 is obtained. The phase of the second symbol modulation waveform at point N+N1-1 Perform a smooth phase transition with a transition length of 2N1, including:

[0063] Replace the phase of the previous symbol n∈[N-N1,N-1] and the phase of the current symbol n∈[N,N+N1-1] with f(n), and calculate the phase f(n)=α at time [N-N1,N+N1-1] m ·n m +α m-1 ·n m-1 +α m-2 ·n m-2 +...+α0, where N-N1≤n≤N+N1-1, N is the number of sampling points of a symbol modulation waveform, 2N1 is the number of sampling points of the transition waveform, 0<2N1<N, m is the highest degree of the phase waveform polynomial, a m ,a m-1 ,...,a0 are the m+1 coefficients of the polynomial.

[0064] Based on the above embodiment, for the m+1 coefficients a of the m-order polynomial function f(t) of the continuous model m ,a m-1 ,...,a0 is calculated by the following m+1 equations:

[0065]

[0066] Where θ1(t) = α + ω1t, t∈[0,T), ω1 = 2πf1; θ2(t) = β + ω2t, t∈[T,2T), ω2 = 2πf2, f′(t) and f″(t) are the first and second derivatives of the function f(t), and similarly θ′(t) and θ″(t) are also the first and second derivatives of the phase function θ(t), and so on, f1 and f2 are elements in the FSK discrete frequency set, α and β are the initial phases of the first symbol modulation waveform and the second symbol modulation waveform. For the m+1 coefficients a of the m-order polynomial function f(n) of the discrete model m ,a m-1 ,...,a0 is calculated by the following m+1 equations:

[0067]

[0068] in n∈[0,N-1],ω1=2πf1; n∈[N,2N-1],ω2=2πf2,f s is the sampling rate of one symbol, Δ is the differential symbol, Δf(n)=f(n)-f(n-1), Δ(Δf(n))=Δf(n)-Δf(n-1), by the same token, Δθ(n)=θ(n)-θ(n-1), Δ(Δθ(n))=Δθ(n)-Δθ(n-1), and so on. f1 and f2 are elements in the FSK discrete frequency set, α and β are the initial phases of the previous code modulation waveform and the current code modulation waveform.

[0069] It can be understood that the embodiment of the present invention first determines a set of waveform sequences and a set of complex sequences. The waveform sequence is generated by a set of candidate waveforms with increasing frequencies. For example, the candidate waveforms of 4FSK are: {S1, S2, S3, S4}, where the frequencies of each waveform segment are f1, f2, f3, f4, respectively. The complex sequence is a sequence consisting of +1, -1, +i, -i, where the number of segments of the waveform sequence is preset to be equal to the length of the complex sequence. In the embodiment of the present invention, a total of 2 segments of modulated waveforms are used as an example for explanation. The complex sequence of the data packet is composed of a leading code element, a data code element, and a transition code element, where the leading code element length is 12, and the complex sequence is {1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1}.

[0070] The waveforms in the waveform sequence are multiplied by the complex numbers in the complex number sequence in sequence to obtain a multi-segment symbol modulation waveform.

[0071] It is understandable that in wireless communication, there may be multiple data packets, and the data packet structure is composed of a leading code element, a data code element, and a transition code element. The code element modulation waveform is composed of a waveform sequence and a complex sequence, and the number of segments of the waveform sequence is equal to the length of the complex sequence.

[0072] The waveforms in the waveform sequence are multiplied with the complex numbers in the complex number sequence in sequence to obtain a plurality of code element modulation waveforms, and the plurality of code element modulation waveforms are sequentially connected to form a modulation waveform sequence after modulation.

[0073] Based on the above embodiment, the method further includes:

[0074] The waveform in front of the first code element of the first data packet is a polynomial transition waveform, which is a transition waveform obtained by calculating the polynomial function between the signal waveform before sending the first data packet and the first code element waveform; the waveform after the last code element of the first data packet is a polynomial transition waveform, which is a transition waveform obtained by calculating the polynomial function between the last code element of the first data packet and the signal waveform to be sent next, and so on.

[0075] Preferably, the last codeword modulation waveform of each data packet is a transition codeword modulation waveform, which is preceded by a leading codeword modulation waveform and a data codeword modulation waveform, the ending phase of the transition codeword modulation waveform belongs to γ, and the phase of the first leading codeword modulation waveform starts from γ, so that the phase between two adjacent data packets is continuous, wherein the transition codeword modulation waveform of the data packet has no practical meaning.

[0076] Figure 6 FIG. 1 is a structural diagram of a hybrid modulation signal phase transition system based on FSK provided by an embodiment of the present invention, such as Figure 6 As shown, it includes: a model confirmation module 601, a first type smooth transition module 602 and a second type smooth transition module 603, wherein:

[0077] A model confirmation module is used to obtain and identify whether the current signal model type is a continuous model or a discrete model;

[0078] The first type of smooth transition module is used for calculating the polynomial function waveform f(t) to modify the phase from θ1(t) to θ2(t) according to the phase θ1(t) of the first symbol modulation waveform and the phase θ2(t) of the second symbol modulation waveform to achieve a smooth transition of the phase if the signal model type is a continuous model;

[0079] The second type of smooth transition module is used to calculate the polynomial function waveform f(n) to modify the phase from θ1(n) to θ2(n) according to the phase θ1(n) of the previous code modulation waveform and the phase θ2(n) of the current code modulation waveform if the signal model type is a discrete model, so as to achieve a smooth transition of the phase.

[0080] For details on how to use the model confirmation module 601, the first type of smooth transition module 602 and the second type of smooth transition module 603 to perform phase transition of the mixed modulation signal based on FSK, please refer to Figure 1 The embodiments shown are for reference only and the embodiments of the present invention will not be described in detail herein.

[0081] Figure 7 An example of a structural diagram of an electronic device is shown in FIG. Figure 7As shown, the server may include: a processor 710, a communications interface 720, a memory 730 and a bus 740, wherein the processor 710, the communications interface 720 and the memory 730 communicate with each other via the bus 740. The communications interface 740 may be used for information transmission between the server and the electronic device. The processor 710 can call the logic instructions in the memory 730 to execute the following method: obtain and identify whether the current signal model type is a continuous model or a discrete model; if the signal model type is a continuous model, then according to the phase θ1(t) of the first codeword modulation waveform and the phase θ2(t) of the second codeword modulation waveform, calculate the polynomial function waveform f(t) to modify the phase from θ1(t) to θ2(t) to achieve a smooth transition of the phase; if the signal model type is a discrete model, then according to the phase θ1(n) of the previous codeword modulation waveform and the phase θ2(n) of the current codeword modulation waveform, calculate the polynomial function waveform f(n) to modify the phase from θ1(n) to θ2(n) to achieve a smooth transition of the phase.

[0082] The present embodiment 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 the methods provided by the above-mentioned method embodiments, for example, including: obtaining and identifying whether the current signal model type is a continuous model or a discrete model; if the signal model type is a continuous model, then according to the phase θ1(t) of the first codeword modulation waveform and the phase θ2(t) of the second codeword modulation waveform, a polynomial function waveform f(t) is calculated to modify the phase from θ1(t) to θ2(t) to achieve a smooth transition of the phase; if the signal model type is a discrete model, then according to the phase θ1(n) of the previous codeword modulation waveform and the phase θ2(n) of the current codeword modulation waveform, a polynomial function waveform f(n) is calculated to modify the phase from θ1(n) to θ2(n) to achieve a smooth transition of the phase.

[0083] The present embodiment provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable the computer to execute the methods provided by the above-mentioned method embodiments, for example, including: obtaining and identifying whether the current signal model type is a continuous model or a discrete model; if the signal model type is a continuous model, then according to the phase θ1(t) of the first codeword modulation waveform and the phase θ2(t) of the second codeword modulation waveform, a polynomial function waveform f(t) is calculated to modify the phase from θ1(t) to θ2(t) to achieve a smooth transition of the phase; if the signal model type is a discrete model, then according to the phase θ1(n) of the previous codeword modulation waveform and the phase θ2(n) of the current codeword modulation waveform, a polynomial function waveform f(n) is calculated to modify the phase from θ1(n) to θ2(n) to achieve a smooth transition of the phase.

[0084] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0085] 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, it 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 ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0086] Finally, the method of the present application is only a preferred implementation scheme and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A phase transition method of a hybrid modulation signal based on FSK, characterized in that: include: Obtain and identify the current signal model type as a continuous model or a discrete model; If the signal model type is a continuous model, a polynomial function waveform f(t) is calculated to modify the phase from θ1(t) to θ2(t) according to the phase θ1(t) of the first symbol modulation waveform and the phase θ2(t) of the second symbol modulation waveform to achieve a smooth transition of the phase; If the signal model type is a discrete model, the polynomial function waveform f(n) is calculated based on the phase θ1(n) of the previous code modulation waveform and the phase θ2(n) of the current code modulation waveform to modify the phase from θ1(n) to θ2(n) to achieve a smooth transition of the phase.

2. The hybrid modulation signal phase transition method based on FSK according to claim 1 is characterized in that: In the phase θ1(t) of the first symbol modulation waveform, t∈[0,T), and in the phase θ2(t) of the second symbol modulation waveform, t∈[T,2T), T is the time of one symbol modulation waveform; in the phase θ1(n) of the previous symbol modulation waveform, n∈[0,N-1], and in the phase θ2(n) of the current symbol modulation waveform, n∈[N,2N-1], N is the number of sampling points of one symbol modulation waveform.

3. The hybrid modulation signal phase transition method based on FSK according to claim 2 is characterized in that: If the signal model type is a continuous model, the polynomial function waveform f(t) is calculated according to the phase θ1(t) of the first symbol modulation waveform and the phase θ2(t) of the second symbol modulation waveform to modify the phase from θ1(t) to θ2(t) to achieve a smooth transition of the phase, specifically including: Replace the phase of the first symbol t∈[T-T1,T) and the phase of the second symbol t∈[T,T+T1) with f(t), and calculate the phase f(t)=α at time [T-T1,T+T1) m ·t m +α m-1 ·t m-1 +α m-2 ·t m-2 +...+α0, where T-T1≤t<T+T1, T is the time length of a symbol modulation waveform, 2T1 is the time length of a transition waveform, 0<2T1<T, m is the highest degree of the phase waveform polynomial, a m ,a m-1 ,...,a0 are the m+1 coefficients of the polynomial.

4. The hybrid modulation signal phase transition method based on FSK according to claim 2 is characterized in that: If the signal model type is a discrete model, then according to the phase θ1(n) of the previous symbol modulation waveform and the phase θ2(n) of the current symbol modulation waveform, a polynomial function waveform f(n) is calculated to modify the phase from θ1(n) to θ2(n) to achieve a smooth transition of the phase, specifically including: Replace the phase of the previous symbol n∈[N-N1,N-1] and the phase of the current symbol n∈[N,N+N1-1] with f(n), and calculate the phase f(n)=α at time [N-N1,N+N1-1] m ·n m +α m-1 ·n m-1 +α m-2 ·n m-2 +...+α0, where N-N1≤n≤N+N1-1, N is the number of sampling points of a symbol modulation waveform, 2N1 is the number of sampling points of the transition waveform, 0<2N1<N, m is the highest degree of the phase waveform polynomial, a m ,a m-1 ,...,a0 are the m+1 coefficients of the polynomial.

5. The FSK-based hybrid modulation signal phase transition method according to claim 3, characterized in that: The method further comprises: For the continuous model, the m+1 coefficients a of the m-order polynomial function f(t) m ,a m-1 ,...,a0 is calculated by the following m+1 equations: Where θ1(t)=α+ω1t,t∈[0,T), ω1=2πf1; θ2(t)=β+ω2t,t∈[T,2T), ω2=2πf2, f′(t) and f″(t) are the first and second derivatives of the function f(t), θ′(t) and θ″(t) are the first and second derivatives of the phase function θ(t), and so on; f1 and f2 are elements in the FSK discrete frequency set, α and β are the initial phases of the first codeword modulation waveform and the second codeword modulation waveform.

6. The FSK-based hybrid modulation signal phase transition method according to claim 4, characterized in that: The method further comprises: For the m+1 coefficients a of the m-order polynomial function f(n) of the discrete model m ,a m-1 ,...,a0 is calculated by the following m+1 equations: in n∈[0,N-1],ω1=2πf1; n∈[N,2N-1],ω2=2πf2,f s is the sampling rate of one symbol, Δ is the differential symbol, Δf(n)=f(n)-f(n-1), Δ(Δf(n))=Δf(n)-Δf(n-1), Δθ(n)=θ(n)-θ(n-1), Δ(Δθ(n))=Δθ(n)-Δθ(n-1), and so on; f1 and f2 are elements in the FSK discrete frequency set, α and β are the initial phases of the previous codeword modulation waveform and the current codeword modulation waveform.

7. The FSK-based hybrid modulation signal phase transition method according to claim 1, characterized in that: The method further comprises: The waveform of the first code element of the first data packet of the signal is a polynomial transition waveform, which is a transition waveform obtained by calculating the polynomial function between the signal waveform before sending the first data packet and the first code element waveform; the waveform of the last code element of the first data packet is a polynomial transition waveform, which is a transition waveform obtained by calculating the polynomial function between the last code element of the first data packet and the signal waveform to be sent next, and so on.

8. A hybrid modulation signal phase transition system based on FSK, characterized in that: include: A model confirmation module is used to obtain and identify whether the current signal model type is a continuous model or a discrete model; The first type of smooth transition module is used for calculating the polynomial function waveform f(t) to modify the phase from θ1(t) to θ2(t) according to the phase θ1(t) of the first symbol modulation waveform and the phase θ2(t) of the second symbol modulation waveform to achieve a smooth transition of the phase if the signal model type is a continuous model; The second type of smooth transition module is used to calculate the polynomial function waveform f(n) to modify the phase from θ1(n) to θ2(n) according to the phase θ1(n) of the previous code modulation waveform and the phase θ2(n) of the current code modulation waveform if the signal model type is a discrete model, so as to achieve a smooth transition of the phase.

9. An electronic device, characterized in that: The electronic device comprises: a memory and a processor, wherein the memory stores a computer program running on the processor, and is characterized in that the processor implements the method described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, characterized in that when the computer program is executed by a processor, the method described in any one of claims 1 to 7 is implemented.

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