Real-time satellite communication resource allocation and waveform parameter optimization method for multiple weapons

Abstract

The application discloses a real-time satellite communication resource allocation and waveform parameter optimization method for various weapons and belongs to the field of satellite communication. The application is directed to manned combat weapon platforms such as fighter planes, helicopters and submarines and unmanned combat weapon platforms such as unmanned planes, unmanned boats, unmanned tanks, buoys and missiles. In the scenes of single combat, swarm combat or wide-area cooperative combat, the application meets the high real-time, high security and high efficiency information transmission demand of the satellite communication system by cognizing the physical characteristics of the platform, analyzing the demand characteristics of the platform and sensing the channel environment characteristics, adjusting the parameters of the transmission waveform in real time, efficiently allocating four kinds of communication resources such as power, bandwidth, beam and time slot and realizing the efficient, real-time and secure communication of various platforms.

Description

Technical Field

[0001] This invention relates to a method for real-time satellite communication resource allocation and waveform parameter optimization for various weapons, belonging to the fields of information transmission and satellite communication. Background Technology

[0002] The resources of a communication satellite system, such as power, bandwidth, beam, and time slot, are strictly limited. The efficiency of allocating these resources determines the communication capacity and communication effect of the communication satellite system.

[0003] In modern warfare, multiple weapon platforms typically operate simultaneously, each with different platform characteristics, requirements, and channel characteristics. Current communication resource allocation methods generally rely on pre-allocation, lacking the capability for real-time allocation and optimization. Furthermore, allocation is based on only one or two of the platform requirements, platform characteristics, and channel parameters, not all three. Therefore, in existing technologies, the conditions for platform characteristics and requirements are pre-set and registered, not obtained through perception and cognition. This results in current technologies being unable to meet the high real-time, high-security, and high-efficiency information transmission requirements of satellite communication systems in scenarios such as solo operations, swarm operations, or wide-area collaborative operations. Summary of the Invention

[0004] In view of this, the present invention proposes a real-time satellite communication resource allocation and waveform parameter optimization method for various weapons. This method can meet the high real-time, high security and high efficiency information transmission requirements of satellite communication systems for manned combat weapon platforms such as fighter jets, helicopters and submarines, as well as unmanned combat weapon platforms such as drones, unmanned surface vessels, unmanned tanks, buoys and missiles, in scenarios such as independent combat, swarm combat or wide-area collaborative combat.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0006] A real-time satellite communication resource allocation and waveform parameter optimization method for various weapons, used in satellite-centric star-shaped satellite communication networks, includes the following steps:

[0007] Step 1: Real-time autonomous cognition of weapon platform physical characteristic data, real-time analysis of required characteristic data, and simultaneously real-time perception of satellite-to-weapon platform channel characteristic data, serving as conditional data for satellite communication resource allocation and waveform parameter optimization.

[0008] Step 2: Based on the conditional data obtained in Step 1, allocate four types of communication resources: power, bandwidth, beam, and time slot. Adjust the parameters of center frequency, transmit power, frequency hopping bandwidth, frequency hopping frequency, spreading ratio, carrier frequency chaotic sequence, spreading code chaotic sequence, carrier phase chaotic sequence, beam change chaotic sequence, time slot, amplitude-frequency pre-compensation coefficient, group delay pre-compensation coefficient, modulation scheme, and coding efficiency.

[0009] Step 3: After completing the above two steps, repeat steps 1 and 2 at regular intervals to allocate and adjust the four communication resources (power, bandwidth, beam, and time slot) in real time based on platform characteristics, platform requirements, and channel characteristic data.

[0010] Furthermore, in step 1, the physical characteristic data of the weapon platform includes the normal velocity, rotor shielding, and surge of the manned and unmanned combat weapon platforms.

[0011] The method for autonomously understanding the physical characteristic data of the weapon platform based on normal velocity is as follows:

[0012] The communication satellite periodically sends ranging signals, and the weapon platform receives the ranging signals and forwards them back.

[0013] After receiving the ranging signal, the communication satellite calculates the signal delay;

[0014] The communication satellite multiplies the signal delay by the speed of light, halves the result, and obtains the distance between the communication satellite and the weapon platform.

[0015] Divide the results of the two ranging measurements by the ranging interval to obtain the normal velocity between the weapon platform and the communication satellite;

[0016] The method for autonomously understanding weapon physical characteristic data such as rotor shielding and surge is as follows:

[0017] The weapon platform sends power measurement signals to the communications satellite;

[0018] The communication satellite measures the received signal power and plots a curve showing how the signal power changes over time.

[0019] If the absolute value of the derivative obtained by taking the signal power change curve with respect to time is less than the threshold a, then the curve is a surge characteristic curve; otherwise, the curve is a rotor shielding characteristic curve.

[0020] The method for parsing the demand characteristic data is as follows:

[0021] Communication satellites obtain the weapon platform's required data, including its "type," "transmission volume," and "transmission time," by analyzing the weapon platform's registration information.

[0022] Communication satellites divide the "amount of information transmitted" by the "transmission time" to obtain the required information transmission rate.

[0023] Based on the weapon platform "type" information, the requirements data for anti-interception and high stealth are obtained by querying a pre-stored information table; the information table stores the requirements for anti-interception and high stealth according to the weapon platform type.

[0024] The channel characteristic data from the sensing satellite to the weapon platform includes the amplitude-frequency, group delay, and signal-to-noise ratio of the information transmission channel.

[0025] The amplitude frequency is obtained as follows:

[0026] The weapon platform periodically sends out impact signals;

[0027] Communication satellites measure the time-domain extension of impact signals;

[0028] Perform a Fourier transform on the time-domain extended signal to obtain the amplitude-frequency characteristic data of the channel;

[0029] The method for obtaining group latency is as follows:

[0030] The weapon platform continuously transmits signals at multiple frequencies, and these signals are zero-phase aligned.

[0031] Communication satellites measure the phase difference of signals at multiple frequency points to obtain channel group delay characteristic data;

[0032] The signal-to-noise ratio is obtained as follows:

[0033] The signals sent by the weapon platform are transmitted through the channel and received by the communication satellite antenna;

[0034] The amplifier in the communication satellite amplifies the received signal;

[0035] Communication satellites measure the signal-to-noise ratio (SNR) of the amplified signal to obtain the SNR value of the channel.

[0036] Furthermore, the method for adjusting the parameters in step 2 is as follows:

[0037] Based on the Doppler measurements, the carrier frequency parameters are set to compensate for the carrier frequency of the transmitted signal;

[0038] Based on the measured surge curve and rotor shielding curve, the transmission power parameters are adjusted to compensate for the transmission power.

[0039] Based on the perceived anti-interference and concealment characteristics, the frequency hopping bandwidth, frequency hopping point, spreading ratio, and spreading pseudocode parameters are set to allocate the transmission bandwidth.

[0040] Based on the perceived anti-interception characteristics, the transmission chaotic sequence and chaotic change dimension are assigned, wherein the chaotic change dimension is one or more of the carrier frequency, spreading code, carrier phase and beam.

[0041] Allocate time slot resources according to the amount of information to be transmitted;

[0042] Based on the channel environment characteristics of amplitude-frequency and group delay estimated by the channel, the pre-compensation filter coefficients in the transmitted signal domain are adjusted; the pre-compensation filter coefficients are divided into amplitude-frequency pre-compensation filter coefficients and group delay pre-compensation coefficients.

[0043] Based on the signal-to-noise ratio value estimated by the channel, adjust the coding method and coding efficiency of the transmitted signal.

[0044] Compared with the prior art, the present invention has the following advantages:

[0045] 1. This invention is designed for manned combat weapon platforms such as fighter jets, helicopters, and submarines, as well as unmanned combat weapon platforms such as drones, unmanned surface vessels, unmanned tanks, buoys, and missiles. It can meet the high real-time, high security, and high efficiency information transmission requirements of satellite communication systems in scenarios such as solo operations, swarm operations, or wide-area collaborative operations.

[0046] 2. This invention, by recognizing the physical characteristics of the platform, analyzing the platform's requirements, and sensing the characteristics of the channel environment, adjusts the parameters of the transmission waveform in real time and efficiently allocates four types of communication resources, namely "power, bandwidth, beam, and time slot," to achieve efficient, real-time, and secure communication for various platforms.

[0047] 3. This invention simultaneously uses the physical characteristics, requirements, and channel environment characteristics of multiple combat weapon platforms as input conditions to uniformly and efficiently allocate satellite communication resources.

[0048] 4. This invention improves the pre-set static satellite communication resource allocation method into a real-time dynamic satellite communication resource allocation method. It can simultaneously utilize three types of conditions, namely "weapon physical characteristics", "weapon requirement characteristics" and "channel environment characteristics", to allocate four types of communication resources, namely "power, bandwidth, beam and time slot", in real time. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of a real-time satellite communication resource allocation and waveform parameter optimization method for various weapons.

[0050] Figure 2 This is a schematic diagram of the channel amplitude-frequency characteristic measurement method.

[0051] Figure 3 It is a method for sensing channel group delay characteristics. Detailed Implementation

[0052] The present invention will now be described in further detail with reference to the accompanying drawings.

[0053] like Figure 1 As shown, a real-time satellite communication resource allocation and waveform parameter optimization method for various weapons, applied to satellite-centric star-shaped satellite communication networks, includes the following steps:

[0054] Step 1: Real-time autonomous cognition of weapon platform physical characteristic data, real-time analysis of required characteristic data, and simultaneously real-time perception of satellite-to-weapon platform channel characteristic data, serving as conditional data for satellite communication resource allocation and waveform parameter optimization.

[0055] Step 2: Based on the conditional data obtained in Step 1, allocate four types of communication resources: power, bandwidth, beam, and time slot. Adjust the parameters of center frequency, transmit power, frequency hopping bandwidth, frequency hopping frequency, spreading ratio, carrier frequency chaotic sequence, spreading code chaotic sequence, carrier phase chaotic sequence, beam change chaotic sequence, time slot, amplitude-frequency pre-compensation coefficient, group delay pre-compensation coefficient, modulation scheme, and coding efficiency.

[0056] Step 3: After completing the above two steps, repeat steps 1 and 2 at regular intervals to allocate and adjust the four communication resources (power, bandwidth, beam, and time slot) in real time based on platform characteristics, platform requirements, and channel characteristic data.

[0057] Furthermore, in step 1, the physical characteristic data of the weapon platform includes the normal velocity, rotor shielding, and surge of the manned and unmanned combat weapon platforms.

[0058] The method for autonomously understanding the physical characteristic data of the weapon platform based on normal velocity is as follows:

[0059] The communication satellite periodically sends ranging signals, and the weapon platform receives the ranging signals and forwards them back.

[0060] After receiving the ranging signal, the communication satellite calculates the signal delay;

[0061] The communication satellite multiplies the signal delay by the speed of light, halves the result, and obtains the distance between the communication satellite and the weapon platform.

[0062] Divide the results of the two ranging measurements by the ranging interval to obtain the normal velocity between the weapon platform and the communication satellite;

[0063] The method for autonomously understanding weapon physical characteristic data such as rotor shielding and surge is as follows:

[0064] The weapon platform sends power measurement signals to the communications satellite;

[0065] The communication satellite measures the received signal power and plots a curve showing how the signal power changes over time.

[0066] If the absolute value of the derivative obtained by taking the signal power change curve with respect to time is less than the threshold a, then the curve is a surge characteristic curve; otherwise, the curve is a rotor shielding characteristic curve.

[0067] The method for parsing the demand characteristic data is as follows:

[0068] Communication satellites obtain the weapon platform's required data, including its "type," "transmission volume," and "transmission time," by analyzing the weapon platform's registration information.

[0069] Communication satellites divide the "amount of information transmitted" by the "transmission time" to obtain the required information transmission rate.

[0070] Based on the weapon platform "type" information, the requirements data for anti-interception and high stealth are obtained by querying a pre-stored information table; the information table stores the requirements for anti-interception and high stealth according to the weapon platform type.

[0071] The channel characteristic data from the sensing satellite to the weapon platform includes the amplitude-frequency, group delay, and signal-to-noise ratio of the information transmission channel.

[0072] The amplitude frequency is obtained as follows:

[0073] The weapon platform periodically sends out impact signals;

[0074] Communication satellites measure the time-domain extension of impact signals;

[0075] Perform a Fourier transform on the time-domain extended signal to obtain the amplitude-frequency characteristic data of the channel;

[0076] The method for obtaining group latency is as follows:

[0077] The weapon platform continuously transmits signals at multiple frequencies, and these signals are zero-phase aligned.

[0078] Communication satellites measure the phase difference of signals at multiple frequency points to obtain channel group delay characteristic data;

[0079] The signal-to-noise ratio is obtained as follows:

[0080] The signals sent by the weapon platform are transmitted through the channel and received by the communication satellite antenna;

[0081] The amplifier in the communication satellite amplifies the received signal;

[0082] Communication satellites measure the signal-to-noise ratio (SNR) of the amplified signal to obtain the SNR value of the channel.

[0083] Furthermore, the method for adjusting the parameters in step 2 is as follows:

[0084] Based on the Doppler measurements, the carrier frequency parameters are set to compensate for the carrier frequency of the transmitted signal;

[0085] Based on the measured surge curve and rotor shielding curve, the transmission power parameters are adjusted to compensate for the transmission power.

[0086] Based on the perceived anti-interference and concealment characteristics, the frequency hopping bandwidth, frequency hopping point, spreading ratio, and spreading pseudocode parameters are set to allocate the transmission bandwidth.

[0087] Based on the perceived anti-interception characteristics, the transmission chaotic sequence and chaotic change dimension are assigned, wherein the chaotic change dimension is one or more of the carrier frequency, spreading code, carrier phase and beam.

[0088] Allocate time slot resources according to the amount of information to be transmitted;

[0089] Based on the channel environment characteristics of amplitude-frequency and group delay estimated by the channel, the pre-compensation filter coefficients in the transmitted signal domain are adjusted; the pre-compensation filter coefficients are divided into amplitude-frequency pre-compensation filter coefficients and group delay pre-compensation coefficients.

[0090] Based on the signal-to-noise ratio value estimated by the channel, adjust the coding method and coding efficiency of the transmitted signal.

[0091] The following is another example:

[0092] This method provides real-time satellite communication resource allocation and waveform parameter optimization for various weapons. It acquires the conditions and requirements of satellite communication from different platforms from multiple dimensions. Then, using this input information, it efficiently allocates communication resources (power, bandwidth, beam, and time slots) by adjusting 14 parameters, including center frequency, transmit power, frequency hopping bandwidth, frequency hopping point, spreading ratio, carrier frequency chaotic sequence, spreading code chaotic sequence, carrier phase chaotic sequence, beam variation chaotic sequence, time slot, amplitude-frequency pre-compensation coefficient, group delay pre-compensation coefficient, modulation scheme, and coding efficiency. The method acquires the conditions and requirements of satellite communication from different platforms from multiple dimensions, including understanding the platform's physical characteristics, analyzing the platform's requirement characteristics, and sensing the channel environment characteristics.

[0093] Regarding the physical characteristics of the cognitive platform, it is necessary to analyze the high dynamics, rotor shielding, buoy surge, and antenna aperture characteristics of various platforms. Regarding the required characteristics of the analytical platform, it is necessary to analyze information bandwidth requirements, anti-interference requirements, anti-interception requirements, and high concealment requirements. Regarding the characteristics of the sensing channel environment, it is necessary to analyze non-cooperative interference, amplitude-frequency characteristics, group delay characteristics, and polarization interference factors.

[0094] By analyzing the above characteristics, power, bandwidth, beam, and time slot communication resources are intelligently allocated.

[0095] In terms of channel transmission, technologies such as hybrid access methods of TDMA / FDMA / CDMA and real-time processing of short frame long data are adopted to achieve fast real-time transmission of information.

[0096] In terms of satellite beam design, the beam waveform parameters are widely adaptable and adaptively flexible to meet the physical characteristics requirements of various platforms.

[0097] In terms of information security, a multi-dimensional domain dual-chaos information transmission method is adopted to improve the anti-interception and anti-control capabilities of information on various platforms.

[0098] The amplitude-frequency characteristics of the sensing channel, namely, the periodic transmission of impulse signals at the information transmitting end. The time-domain extension of the impact signal is measured at the information receiving end. The time-domain extended signal is then subjected to a Fourier transform to obtain the channel amplitude-frequency characteristics. ,like Figure 2 As shown, the channel is a bandwidth-limited channel. After the impulse signal passes through the band-limited channel, it will inevitably undergo time-domain spreading. The waveform of its time-domain spreading and the channel amplitude-frequency characteristics are a pair of Fourier transforms. The channel is the sum of the microwave channel at the information transmitting end, the spatial channel, and the microwave channel at the information receiving end.

[0099] The group delay characteristic of the sensing channel is that N frequency point signals are continuously transmitted at the information transmitting end, and each frequency point signal is identified by its own frequency value. , … The frequency values ​​increase from small to large, such as Figure 3 As shown. The initial phases of all N frequency signals are zero. At the information receiving end, the phase value of each frequency signal is measured by coherent phase measurement. , … Through the formula Find the signal of each channel relative to the frequency point The phase difference of the signal, where ; through formula The relative time delay of the signal at each frequency point is obtained; the group delay characteristic of the channel is then obtained. .

[0100] The signal-to-noise ratio (SNR) characteristic of the sensing channel is obtained by estimating the SNR at the information receiving end to obtain the SNR value of the channel.

[0101] In summary, this invention addresses the high real-time, high-security, and high-efficiency information transmission requirements of satellite communication systems for manned combat weapon platforms such as fighter jets, helicopters, and submarines, as well as unmanned combat weapon platforms such as drones, unmanned surface vessels, unmanned tanks, buoys, and missiles, in scenarios such as solo operations, swarm operations, or wide-area collaborative operations. By recognizing the physical characteristics of the platform, analyzing the platform's demand characteristics, and perceiving the characteristics of the channel environment, the parameters of the transmission waveform are adjusted in real time, and four types of communication resources—power, bandwidth, beam, and time slot—are allocated efficiently to achieve efficient, real-time, and secure communication for various platforms.

Claims

1. A method for real-time satellite communication resource allocation and waveform parameter optimization for various weapons, used in satellite-centric star-shaped satellite communication networks, characterized in that... Includes the following steps: Step 1: Real-time autonomous cognition of weapon platform physical characteristic data, real-time analysis of required characteristic data, and simultaneously real-time perception of satellite-to-weapon platform channel characteristic data, serving as conditional data for satellite communication resource allocation and waveform parameter optimization. Step 2: Based on the conditional data obtained in Step 1, allocate four types of communication resources: power, bandwidth, beam, and time slot. Adjust the parameters of center frequency, transmit power, frequency hopping bandwidth, frequency hopping point, spreading ratio, carrier frequency chaotic sequence, spreading code chaotic sequence, carrier phase chaotic sequence, beam change chaotic sequence, time slot, amplitude-frequency pre-compensation coefficient, group delay pre-compensation coefficient, modulation scheme, and coding efficiency. The method for adjusting these parameters is as follows: Based on the Doppler measurements, the carrier frequency parameters are set to compensate for the carrier frequency of the transmitted signal; Based on the measured surge curve and rotor shielding curve, the transmission power parameters are adjusted to compensate for the transmission power. Based on the perceived anti-interference and concealment characteristics, the frequency hopping bandwidth, frequency hopping point, spreading ratio, and spreading pseudocode parameters are set to allocate the transmission bandwidth. Based on the perceived anti-interception characteristics, the transmission chaotic sequence and chaotic change dimension are assigned, wherein the chaotic change dimension is one or more of the carrier frequency, spreading code, carrier phase and beam. Allocate time slot resources according to the amount of information to be transmitted; Based on the channel environment characteristics of amplitude-frequency and group delay estimated by the channel, the pre-compensation filter coefficients in the transmitted signal domain are adjusted; the pre-compensation filter coefficients are divided into amplitude-frequency pre-compensation filter coefficients and group delay pre-compensation coefficients. Based on the signal-to-noise ratio value estimated by the channel, adjust the coding method and coding efficiency of the transmitted signal; Step 3: After completing the above two steps, repeat steps 1 and 2 at regular intervals to allocate and adjust the four communication resources (power, bandwidth, beam, and time slot) in real time based on platform characteristics, platform requirements, and channel characteristic data.

2. The method for real-time satellite communication resource allocation and waveform parameter optimization for various weapons according to claim 1, characterized in that, In step 1, the physical characteristic data of the weapon platform includes the normal velocity, rotor shielding, and surge of the manned and unmanned combat weapon platforms. The method for autonomously understanding the physical characteristic data of the weapon platform based on normal velocity is as follows: The communication satellite periodically sends ranging signals, and the weapon platform receives the ranging signals and forwards them back. After receiving the ranging signal, the communication satellite calculates the signal delay; The communication satellite multiplies the signal delay by the speed of light, halves the result, and obtains the distance between the communication satellite and the weapon platform. Divide the results of the two ranging measurements by the ranging interval to obtain the normal velocity between the weapon platform and the communication satellite; The method for autonomously understanding weapon physical characteristic data such as rotor shielding and surge is as follows: The weapon platform sends power measurement signals to the communications satellite; The communication satellite measures the received signal power and plots a curve showing how the signal power changes over time. If the absolute value of the derivative obtained by taking the signal power change curve with respect to time is less than the threshold a, then the curve is a surge characteristic curve; otherwise, the curve is a rotor shielding characteristic curve. The method for parsing the demand characteristic data is as follows: Communication satellites obtain the required data on weapon platform "type", "transmission amount", and "transmission time" by analyzing weapon platform registration information; Communication satellites divide the "amount of information transmitted" by the "transmission time" to obtain the required information transmission rate. Based on the weapon platform "type" information, the requirements data for anti-interception and high stealth are obtained by querying a pre-stored information table; the information table stores the requirements for anti-interception and high stealth according to the weapon platform type. The channel characteristic data from the sensing satellite to the weapon platform includes the amplitude-frequency, group delay, and signal-to-noise ratio of the information transmission channel. The amplitude frequency is obtained as follows: The weapon platform periodically sends out impact signals; Communication satellites measure the time-domain extension of impact signals; Perform a Fourier transform on the time-domain extended signal to obtain the amplitude-frequency characteristic data of the channel; The method for obtaining group latency is as follows: The weapon platform continuously transmits signals at multiple frequencies, and these signals are zero-phase aligned. Communication satellites measure the phase difference of signals at multiple frequency points to obtain channel group delay characteristic data; The signal-to-noise ratio is obtained as follows: The signals sent by the weapon platform are transmitted through the channel and received by the communication satellite antenna; The amplifier in the communication satellite amplifies the received signal; Communication satellites measure the signal-to-noise ratio (SNR) of the amplified signal to obtain the SNR value of the channel.

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