An ultra-wideband multi-channel transceiver system
By combining a radio frequency receiving channel, a channel estimation module, a Doppler compensation module, and a self-learning module, the problems of inaccurate channel estimation and robustness in ultra-wideband multi-channel transceiver systems under complex electromagnetic environments and high-speed mobile scenarios are solved, achieving more efficient signal processing and data transmission.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- NANJING BENYIJIE COMM EQUIP CO LTD
- Filing Date
- 2025-07-11
- Publication Date
- 2026-06-30
AI Technical Summary
Existing ultrawideband multichannel transceiver systems suffer from inaccurate channel estimation and weak anti-interference capabilities in complex electromagnetic environments, and exhibit poor robustness and stability in high-speed mobile scenarios.
The system employs a combination of radio frequency receiving channel, channel estimation module, Doppler compensation module, beamforming module and control module, combined with self-learning module and multi-layer error correction coding module, to enhance the system's anti-interference capability and stability through signal mixing, parameter prediction and error correction processing.
It improves the accuracy of channel estimation and anti-interference capability, and enhances the robustness and stability of the system in complex electromagnetic environments and high-speed mobile scenarios.
Smart Images
Figure CN224438989U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of wireless communication technology, and in particular to an ultra-wideband multi-channel transceiver system. Background Technology
[0002] In wireless communication networks, ultra-wideband multichannel transceiver systems play a vital role in modern communications, enabling high-speed, high-capacity data transmission while providing precise positioning and tracking services.
[0003] In current ultra-wideband multichannel transceiver systems, MIMO (Multiple-Input Multiple-Output) architecture is often adopted. Spatial multiplexing is used to improve spectral efficiency, and orthogonal frequency division multiplexing (OFDM) is used to enhance system performance through efficient spectrum utilization.
[0004] However, existing ultra-wideband multichannel transceiver systems suffer from inaccurate channel estimation and weak anti-interference capabilities when facing complex electromagnetic environments, and their robustness and stability are poor in high-speed mobile scenarios. Utility Model Content
[0005] To overcome the above shortcomings, this utility model provides an ultra-wideband multi-channel transceiver system, which aims to solve the problems of inaccurate channel estimation, weak anti-interference ability, and poor robustness and stability of the system in complex electromagnetic environments and high-speed mobile scenarios in the face of existing technologies.
[0006] To achieve the above objectives, the present invention adopts the following technical solution: an ultra-wideband multi-channel transceiver system, comprising a radio frequency receiving channel, wherein the radio frequency receiving channel is electrically connected to a channel estimation module, a Doppler compensation module and a local oscillator component, the channel estimation module is electrically connected to a control module, the control module is electrically connected to a beamforming module, the beamforming module is electrically connected to a radio frequency transmitting channel, the local oscillator component is electrically connected to the control module, the radio frequency transmitting channel and the Doppler compensation module, and the control module is electrically connected to the Doppler compensation module.
[0007] The above technical solution addresses the problems of inaccurate channel estimation, weak anti-interference capability, and poor robustness and stability in high-speed mobile scenarios when facing complex electromagnetic environments, through the cooperation of multiple radio frequency receiving channels, Doppler compensation module and local oscillator component, and through the cooperation of channel estimation module, control module, beamforming module and radio frequency transmitting channel.
[0008] As a further description of the above technical solution:
[0009] The control module is electrically connected to a self-learning module, which is electrically connected to both the channel estimation module and the beamforming module.
[0010] The above technical solution involves analyzing the channel estimation parameters and beamforming parameters of historical cycles through a self-learning module, which can then predict and adjust the channel estimation and beamforming parameters for the next cycle.
[0011] As a further description of the above technical solution:
[0012] The self-learning module includes a data storage unit and a machine learning processor. The data storage unit is electrically connected to the channel estimation module, the beamforming module, the control module, and the machine learning processor. The machine learning processor is electrically connected to the channel estimation module and the beamforming module.
[0013] The above technical solution achieves the function of continuous iteration, updating, and prediction of the self-learning module through the cooperation of the data storage unit and the machine learning processor, combined with the built-in algorithm of the machine learning processor.
[0014] As a further description of the above technical solution:
[0015] The control module is electrically connected to a multi-layer error correction coding module, which is electrically connected to the radio frequency transmission channel.
[0016] The above technical solution involves a multi-layer error correction coding module that selects the most suitable decoding strategy based on the actual situation of the received signal, effectively correcting errors that may occur during transmission, thereby ensuring the integrity and reliability of the data.
[0017] As a further description of the above technical solution:
[0018] The multilayer error correction coding module includes a transmitting encoding unit and a receiving decoding unit, both of which are electrically connected to the control module.
[0019] The above technical solution achieves multiple layers of data protection through the cooperation of the transmitting end encoding unit and the receiving end decoding unit.
[0020] As a further description of the above technical solution:
[0021] The Doppler compensation module includes a frequency synthesizer and a phase detector. The phase detector is electrically connected to the frequency synthesizer, the local oscillator component, and the radio frequency receiving channel. The frequency synthesizer is electrically connected to the local oscillator component and the control module.
[0022] The above technical solution, through the cooperation of the ADF4351 frequency synthesizer and the AD8302 phase detector, enables the Doppler compensation module to ensure the continuity and stability of channel estimation and signal transmission.
[0023] As a further description of the above technical solution:
[0024] The local oscillator assembly includes a local oscillator module and a local oscillator power divider network. The local oscillator module is electrically connected to the control module, frequency synthesizer, phase detector, and local oscillator power divider network. The local oscillator power divider network is electrically connected to the radio frequency receiving channel and the radio frequency transmitting channel.
[0025] The above technical solution achieves synchronization and coordinated operation among multiple antennas by generating a local oscillator signal from the local oscillator module through a local oscillator power divider network and distributing the local oscillator signal to multiple transceiver channels.
[0026] As a further description of the above technical solution:
[0027] It also includes a power supply module, which is electrically connected to the Doppler compensation module, the radio frequency receiving channel, the channel estimation module, the local oscillator component, the radio frequency transmitting channel, the beamforming module, the control module, the self-learning module, and the multilayer error correction coding module.
[0028] The above technical solution enables the system to operate stably by providing a power supply module, thereby realizing the system's transmission and reception functions.
[0029] This utility model has the following beneficial effects:
[0030] 1. In this utility model, the local oscillator signal of the local oscillator component is adjusted by the Doppler compensation module and mixed with the signal of the radio frequency receiving channel. After processing by the channel estimation module, it is transmitted to the control module for further processing and analysis. With the cooperation of the beamforming module, the transmitted signal is transmitted through the radio frequency transmission channel. This solves the problems of inaccurate channel estimation, weak anti-interference ability, and poor robustness and stability of the system in high-speed mobile scenarios when facing complex electromagnetic environments.
[0031] 2. In this invention, the machine learning processor processes and analyzes the data inside the data storage unit, and combines it with algorithms to predict the optimal parameter settings for the next cycle. This not only improves the efficiency of channel estimation and beamforming, but also enhances the system's adaptability to the ever-changing electromagnetic environment.
[0032] 3. In this utility model, the control module sends configuration instructions to the multilayer error correction coding module, and the multilayer error correction coding module selects the most suitable decoding strategy according to the actual situation of the received signal, effectively correcting errors that may occur during transmission, thereby ensuring the integrity and reliability of the data. Attached Figure Description
[0033] Figure 1 This is a three-dimensional architecture diagram of an ultra-wideband multi-channel transceiver system proposed in this utility model;
[0034] Figure 2 This is a schematic diagram of the architecture of the self-learning module in an ultra-wideband multi-channel transceiver system proposed in this utility model.
[0035] Figure 3 This is a schematic diagram of the architecture of the local oscillator component in an ultra-wideband multi-channel transceiver system proposed in this utility model.
[0036] Figure 4 This is a schematic diagram of the Doppler compensation module architecture of an ultra-wideband multi-channel transceiver system proposed in this utility model. Detailed Implementation
[0037] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.
[0038] Reference Figure 1 This utility model provides an embodiment of an ultra-wideband multi-channel transceiver system, including a radio frequency (RF) receiving channel. The RF receiving channel is electrically connected to a channel estimation module, a Doppler compensation module, and a local oscillator (LO) component. The channel estimation module is electrically connected to a control module. The control module is electrically connected to a beamforming module. The beamforming module is electrically connected to an RF transmitting channel. The LO component is electrically connected to the control module, the RF transmitting channel, and the Doppler compensation module. The control module is electrically connected to the Doppler compensation module.
[0039] Specifically, the control module is based on the Zynq-7020SoC, integrating an ARM Cortex-A9 processor and a Kintex-7 FPGA logic unit. The RF receiving channel adopts a modular design based on the AD9361 RF transceiver chip, integrating a limiter (model: ERA-2SM+), a low-noise amplifier (model: ZX60-135LN+), and a down-mixer circuit. The channel estimation module is implemented based on a Xilinx Artix-7 FPGA (model: XC7A100T) and combines the minimum mean square error (LMMSE) algorithm with a high-speed ADC (model: AD9238, sampling rate 12). The baseband signal of the RF receiving channel is acquired at 5MSps. The beamforming module uses a digitally controlled attenuator (model: HMC998) and a switched filter (model: PE42590), and communicates with the control module via the SPI bus. The RF transmitting channel is based on the AD9361 chip to realize upmixing and power amplification, and integrates a PA (model: MRF6S21140H) and an LC bandpass filter. The channel estimation module is based on Xilinx Artix-7 FPGA (model: XC7A100T), and the baseband signal of the RF receiving channel is acquired through a high-speed ADC (model: AD9238, sampling rate 125MSps).
[0040] The system receives signals from multiple paths via multiple RF receiving channels, performs amplitude limiting and low-noise amplification, and uses a Doppler compensation module to detect the frequency deviation between the RF received signal and the local oscillator signal in real time. The control module adjusts the Doppler compensation module to generate a compensation signal to adjust the local oscillator frequency, compensating for Doppler frequency shift in high-speed moving scenarios. Then, the local oscillator signal provided by the local oscillator is mixed with the signal received by the RF receiving channels to output an intermediate frequency (IF) signal. This IF signal is transmitted to the channel estimation module, which performs an improved LMMSE algorithm on the IF baseband signal to estimate parameters such as channel multipath delay and fading coefficient. These parameters are then transmitted to the control module for processing and analysis. Finally, the control module sends attenuation coefficients and filter parameters... The frequency band selection signal is sent to the beamforming module, which configures the local oscillator (LO) frequency. The beamforming module adjusts the amplitude of the transmitted signal and mixes it with the LO signal provided by the LO component. The signal is then transmitted through the RF transmission channel. During this process, the control module updates parameters to the channel estimation module, the LO component provides frequency offset residuals to the Doppler compensation module, and the beamforming module feeds back its optimized parameters to the control module. This ensures that the optimized data takes effect in the next communication cycle, gradually improving the system's anti-interference capability. This solves the problems of inaccurate channel estimation, weak anti-interference capability, and poor robustness and stability of the existing technology in complex electromagnetic environments and high-speed mobile scenarios.
[0041] Reference Figure 1The control module is electrically connected to a self-learning module, and the self-learning module is electrically connected to both the channel estimation module and the beamforming module.
[0042] Specifically, after each signal transmission and reception cycle of the system, the control module coordinates the data acquisition cycle of the self-learning module through the electrical connection between the self-learning module and the channel estimation module and the beamforming module. The self-learning module collects and analyzes the parameters of the channel estimation module and the beamforming module in the previous cycle, and predicts the optimal parameter settings for the next cycle through the built-in machine learning algorithm (such as support vector machine or neural network), thereby improving the efficiency of channel estimation and beamforming, and enhancing the system's adaptability in the ever-changing electromagnetic environment.
[0043] Reference Figure 1 and Figure 2 The self-learning module includes a data storage unit and a machine learning processor. The data storage unit is electrically connected to the channel estimation module, the beamforming module, the control module, and the machine learning processor. The machine learning processor is electrically connected to the channel estimation module and the beamforming module.
[0044] Specifically, the machine learning processor is a chip with at least one built-in support vector machine and neural network algorithm, used to predict the optimal channel estimation parameters and beamforming parameters based on historical channel state data. The data storage unit is a memory used to store historical channel estimation parameters and beamforming parameters. The data storage unit is bidirectionally connected to both the channel estimation module and the beamforming module, and is controlled by the control module. The machine learning processor reads parameters from the channel estimation module and the beamforming module through the data storage unit. By processing and analyzing the data inside the data storage unit and combining it with the algorithm, the machine learning processor predicts the optimal parameter settings for the next cycle and writes them into the parameters of the channel estimation module and the beamforming module, and then uploads them to the control module, thereby realizing the function of continuous iteration, updating and prediction of the self-learning module.
[0045] Reference Figure 1 The control module is electrically connected to a multi-layer error correction coding module, which is electrically connected to the radio frequency transmission channel.
[0046] Specifically, the multilayer error correction coding module uses the L64703 codec chip as its core, paired with a Xilinx Spartan-6 FPGA (model: XC6SLX45) as a control coprocessor. The control module dynamically issues configuration commands to the multilayer error correction coding module based on the channel estimation results, monitors the status of the multilayer error correction coding module, coordinates the coding process with the timing of the RF transmission channel, performs multilayer encoding processing on the transmitted data through the multilayer error correction coding module, and then feeds it back to the control module. This enables the multilayer error correction coding module to correct transmission errors in complex electromagnetic environments and improve the reliability of data transmission.
[0047] Reference Figure 1 and Figure 4 The multilayer error correction coding module includes a transmitting end coding unit and a receiving end decoding unit, both of which are electrically connected to the control module.
[0048] Specifically, the transmitting end encoding unit integrates a Turbo encoding engine (8-state parallel), an LDPC encoding engine (7344 code length), a 32-bit DDR data interface, and is configured with a 128KB encoding parameter cache Flash. The receiving end decoding unit integrates a Turbo iterative decoder (maximum 16 iterations), an LDPC belief propagation decoder (minimum sum algorithm), a bit error rate statistics counter, and is configured with a 64KB decoding soft information cache SRAM. The transmitting end encoding unit and the receiving end decoding unit share the encoding mode register via the SPI bus and are bidirectionally connected to the control module. The receiving end decoding unit receives the configuration instructions from the control module and then sends them back to the control module through the transmitting end encoding unit, thereby realizing the error correction function of the multi-layer error correction coding module.
[0049] Reference Figure 1 and Figure 3 The Doppler compensation module includes a frequency synthesizer and a phase detector. The phase detector is electrically connected to the frequency synthesizer, the local oscillator component, and the radio frequency receiving channel. The frequency synthesizer is electrically connected to the local oscillator component and the control module.
[0050] Specifically, the phase detector, an AD8302 phase detector, is used to detect the phase difference between the RF received signal and the local oscillator component reference signal, converting it into a voltage signal proportional to the frequency offset, and outputting it to the frequency synthesizer to provide a basis for frequency compensation. Through the control of the control module, the frequency synthesizer, an ADF4351 frequency synthesizer, dynamically adjusts the local oscillator frequency of the local oscillator component according to the phase detector output voltage, canceling the Doppler frequency offset and forming a closed-loop compensation. This realizes the function of the Doppler compensation module in tracking and compensating for frequency offset caused by movement.
[0051] Reference Figure 1 and Figure 3 The local oscillator assembly includes a local oscillator module and a local oscillator power divider network. The local oscillator module is electrically connected to the control module, frequency synthesizer, phase detector, and local oscillator power divider network. The local oscillator power divider network is electrically connected to the radio frequency receiving channel and the radio frequency transmitting channel.
[0052] Specifically, the local oscillator module includes circuit units such as a crystal oscillator, a DDS (Direct Digital Synthesis) chip, a phase-locked loop (PLL), and a low-noise amplifier (LNA). The local oscillator power divider network consists of a power divider and signal processing circuitry. The local oscillator module is bidirectionally connected to the phase detector. When the system receives a signal, the phase detector extracts the radio frequency signal from the downmixer preamplifier of the radio frequency receiving channel. The phase detector references the signal from the local oscillator module and outputs a frequency to the local oscillator module through a frequency synthesizer, causing the local oscillator module to adjust its local oscillator signal. Then, the local oscillator signal is transmitted to the radio frequency receiving channel for mixing through the local oscillator power divider network. When the system transmits a signal, the local oscillator module provides the local oscillator signal, which is then transmitted to the radio frequency transmitting channel for mixing and transmission through the local oscillator power divider network, thus realizing the system's signal transmission and reception functions.
[0053] Reference Figure 1 It also includes a power supply module, which is electrically connected to the Doppler compensation module, the radio frequency receiving channel, the channel estimation module, the local oscillator component, the radio frequency transmitting channel, the beamforming module, the control module, the self-learning module, and the multilayer error correction coding module.
[0054] Specifically, the power module includes a power management circuit and a battery pack, which provides stable power to the Doppler compensation module, RF receiving channel, channel estimation module, local oscillator assembly, RF transmitting channel, beamforming module, control module, self-learning module and multilayer error correction coding module in the system, thereby helping to realize the functions of each module in the system.
[0055] Working principle: When using this system, after multiple radio frequency receiving channels receive signals from multiple paths, they are limited and amplified with low noise. The frequency deviation between the radio frequency received signal and the local oscillator signal is detected in real time by the Doppler compensation module, and a compensation signal is generated to adjust the frequency generated by the local oscillator module. Then, the local oscillator module transmits the local oscillator signal to the radio frequency receiving channel through the local oscillator power divider network for mixing, thereby realizing the cancellation of Doppler frequency shift in high-speed moving scenarios.
[0056] Then, the RF receiving channel outputs an intermediate frequency (IF) signal, which is transmitted to the channel estimation module to perform an improved LMMSE algorithm on the IF baseband signal to estimate parameters such as channel multipath delay and fading coefficient. The parameters are then transmitted to the control module for processing and analysis, and configuration commands are sent to the multilayer error correction coding module. The multilayer error correction coding module performs multilayer coding processing on the transmitted data and then transmits it to the control module. At the same time, the control module, in conjunction with the parameters optimized based on historical data by the self-learning module, decides on the beamforming strategy and configures the local oscillator (LO) module. The LO module generates a precise LO signal, which is mixed with the transmitted signal through the LO power divider network and transmitted through the RF transmitting channel. This solves the problems of inaccurate channel estimation, weak anti-interference capability, and poor robustness and stability of the system in complex electromagnetic environments and high-speed mobile scenarios in existing technologies.
[0057] Finally, it should be noted that the above description is only a preferred embodiment of the present utility model and is not intended to limit the present utility model. Although the present utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.
Claims
1. An ultra-wideband multi-channel transceiver system, comprising a radio frequency receiving channel, characterized in that: The radio frequency receiving channel is electrically connected to a channel estimation module, a Doppler compensation module, and a local oscillator component. The channel estimation module is electrically connected to a control module. The control module is electrically connected to a beamforming module. The beamforming module is electrically connected to the radio frequency transmitting channel. The local oscillator component is electrically connected to the control module, the radio frequency transmitting channel, and the Doppler compensation module. The control module is electrically connected to the Doppler compensation module.
2. The ultra-wideband multi-channel transceiver system according to claim 1, characterized in that: The control module is electrically connected to a self-learning module, which is electrically connected to both the channel estimation module and the beamforming module.
3. The ultra-wideband multi-channel transceiver system according to claim 2, characterized in that: The self-learning module includes a data storage unit and a machine learning processor. The data storage unit is electrically connected to the channel estimation module, the beamforming module, the control module, and the machine learning processor. The machine learning processor is electrically connected to the channel estimation module and the beamforming module.
4. The ultra-wideband multi-channel transceiver system according to claim 1, characterized in that: The control module is electrically connected to a multi-layer error correction coding module, which is electrically connected to the radio frequency transmission channel.
5. The ultra-wideband multi-channel transceiver system according to claim 4, characterized in that: The multilayer error correction coding module includes a transmitting encoding unit and a receiving decoding unit, both of which are electrically connected to the control module.
6. The ultra-wideband multi-channel transceiver system according to claim 1, characterized in that: The Doppler compensation module includes a frequency synthesizer and a phase detector. The phase detector is electrically connected to the frequency synthesizer, the local oscillator component, and the radio frequency receiving channel. The frequency synthesizer is electrically connected to the local oscillator component and the control module.
7. The ultra-wideband multi-channel transceiver system according to claim 1, characterized in that: The local oscillator assembly includes a local oscillator module and a local oscillator power divider network. The local oscillator module is electrically connected to the control module, frequency synthesizer, phase detector, and local oscillator power divider network. The local oscillator power divider network is electrically connected to the radio frequency receiving channel and the radio frequency transmitting channel.
8. The ultra-wideband multi-channel transceiver system according to claim 1, characterized in that: It also includes a power supply module, which is electrically connected to the Doppler compensation module, the radio frequency receiving channel, the channel estimation module, the local oscillator component, the radio frequency transmitting channel, the beamforming module, the control module, the self-learning module, and the multilayer error correction coding module.