Adaptive radar system suitable for complex multipath environment and algorithm optimization method

Abstract

The invention relates to the technical field of radars, and particularly discloses a self-adaptive radar system and algorithm optimization method suitable for a complex multipath environment, and the system comprises a signal sensing module, a multipath analysis module, an antenna control module, a data processing module, a target detection module, an intelligent decision module, a system monitoring module, a communication transmission module, and a man-machine interaction module. According to the adaptive radar system suitable for the complex multipath environment and the algorithm optimization method, the multipath anti-interference capability of the radar system is remarkably improved, interference of multipath signals on the radar system is effectively reduced through innovative system architecture design, adaptive antenna design and an advanced data processing algorithm, and the system performance is improved. In addition, due to the self-adaptability and the real-time processing capability of the system, the system can quickly adapt to different multi-path environments, and stable operation in various complex scenes is ensured.

Description

Technical Field

[0001] The present invention belongs to the field of radar technology, and in particular relates to an adaptive radar system and an algorithm optimization method suitable for use in a complex multipath environment. Background Art

[0002] The radar system is a technical system that uses radio waves to detect, track and measure targets. It can provide information about the target's position, speed, direction and shape by emitting electromagnetic waves and receiving signals reflected by the target. It is widely used in military, civil aviation, weather forecasting, ship navigation, traffic management and other fields.

[0003] In an environment with significant multipath effects, radar systems face severe challenges such as signal distortion, error accumulation and reduced positioning accuracy. Traditional radar systems often find it difficult to effectively cope with multipath interference caused by complex environments (such as high-rise buildings in cities, branches and leaves of trees in forests, etc.), resulting in a decrease in signal quality and a significant reduction in positioning accuracy. These limitations not only limit the application scope of radar systems, but also increase the risk of failure in critical tasks, which need to be improved. To this end, an adaptive radar system and algorithm optimization method suitable for complex multipath environments are proposed. Summary of the invention

[0004] The purpose of the present invention is to provide an adaptive radar system and an algorithm optimization method suitable for complex multipath environments to solve the problems raised in the above background technology.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an adaptive radar system and algorithm optimization method suitable for complex multipath environment, including a signal perception module, a multipath analysis module, an antenna control module, a data processing module, a target detection module, an intelligent decision-making module, a system monitoring module, a communication transmission module, and a human-computer interaction module. The signal perception module is used to collect radar echo signals and surrounding environment data, and is the entrance for the entire radar system to obtain original information; the multipath analysis module is used to deeply analyze the multipath signals in the radar echo, construct a multipath propagation model and evaluate the degree of interference to the radar system; the antenna control module dynamically adjusts the various parameters of the antenna array according to the multipath analysis results to optimize the signal reception effect and reduce multipath interference; the data processing module The radar echo signal is processed in many aspects to separate multipath interference signals, fuse multi-channel data, and extract target signal features; the target detection module extracts target features from the processed signal, identifies the target type and motion state, and calculates the target position coordinates; the intelligent decision-making module generates optimization strategies and manages system resources based on the information of each module of the system to achieve overall system performance optimization and intelligent operation; the system monitoring module monitors the operating status of each module of the system in real time, diagnoses faults, issues alarms and records relevant information to ensure stable and reliable operation of the system; the communication transmission module is responsible for data communication and interaction between the inside and outside of the radar system; the human-computer interaction module provides an interactive interface between the operator and the radar system to realize information display, operation control and user management, and improve the convenience and safety of system operation.

[0006] Preferably, the signal sensing module includes an ultra-wideband antenna unit, a signal acquisition unit, and an environmental data acquisition unit. The ultra-wideband antenna unit is used to receive multi-band radar echo signals, the signal acquisition unit is used to process and convert the received radio frequency signals into digital signals, and the environmental data acquisition unit is used to collect temperature and humidity environmental information.

[0007] Preferably, the multipath analysis module includes a multipath signal recognition unit, a multipath propagation modeling unit, and a multipath interference evaluation unit. The multipath signal recognition unit is used to distinguish the target from the multipath signals. The multipath propagation modeling unit is used to construct a multipath propagation model. The multipath interference evaluation unit is used to quantify the impact of multipath interference. In the multipath signal recognition unit, the discrete signal function is Rxs[m] = ∑(n=-∞ to ∞) x[n] * s[n-m], where x[n] is the received discrete radar echo signal, s[n] is the target signal template, m is the delay amount. The target signal is judged by finding the m value that maximizes Rxs[m]. The multipath signal interference is judged based on the combination of energy and cross-correlation. The signal energy formula is Ex = ∑(n=-∞ to ∞) |x[n]|^2 (Ex is the energy of the received signal x[n]), Es = ∑(n=-∞ to ∞) |s[n]|^2 (Es is the energy of the target signal s[n]). The interference judgment condition is: if Rxs[m0] (the maximum value of Rxs[m], m0 is the corresponding delay amount) satisfies Rxs[m0]^2 / (Ex * Es) < T2 (T2 is the set threshold), then it is determined that there is multipath signal interference. In the multipath propagation modeling unit, the two-dimensional plane reflection path length calculation formula is L = √((x - 0)^2 + (y - 0)^2) + √((xt - x)^2 + (yt - y)^2), where the radar is at the coordinate origin (0,0), the reflection point coordinates are (x,y), the target position is (xt,yt), and L is the reflection path length. The calculation of the reflection signal phase delay is: φ = (2π / λ) * L, where λ is the transmitted signal wavelength, φ is the reflection signal phase delay, and L is the above reflection path length. In the multipath interference evaluation unit, the signal-to-interference ratio (SIR) calculation formula is SIR = 10 * log10(Ps / Pmp), where Ps is the target signal power and Pmp is the multipath interference signal power. The multipath interference degree is judged according to the SIR value. The target signal power calculation (discrete signal case) formula is Ps = (1 / (n2 - n1)) * ∑(n=n1 to n2) |x[n]|^2, where x[n] is the discrete signal, the interval from n1 to n2 is the interval where the target signal is located, and Ps is the target signal power. The multipath interference signal power calculation (combined with the total received signal power) formula is Ptotal = (1 / N) * ∑(n=1 to N) |x[n]|^2 (Ptotal is the total received signal power, N is the total number of signal points), and Pmp = Ptotal - Ps.

[0008] Preferably, the antenna control module includes a phased array control unit, an adaptive adjustment unit, and a polarization control unit. The phased array control unit is used to adjust the antenna beam direction. The adaptive adjustment unit is used to change the antenna gain distribution. The polarization control unit is used to switch the antenna polarization mode.

[0009] Preferably, the data processing module includes an adaptive filtering unit, a multi-channel fusion unit, and a time-frequency analysis unit, the adaptive filtering unit is used to separate the target and multipath signals, the multi-channel fusion unit is used to fuse multi-channel radar data, and the time-frequency analysis unit is used to analyze the time-frequency characteristics of the signal.

[0010] Preferably, the target detection module includes a feature extraction unit, a target recognition unit, and a positioning calculation unit, wherein the feature extraction unit is used to obtain target features, the target recognition unit is used to identify the target type, and the positioning calculation unit is used to calculate the target position.

[0011] Preferably, the intelligent decision-making module includes a strategy generation unit, a learning and optimization unit, and a resource management unit. The strategy generation unit is used to generate a system operation strategy, the learning and optimization unit is used to optimize the strategy based on data, and the resource management unit is used to allocate system resources.

[0012] Preferably, the system monitoring module includes a status monitoring unit, a fault diagnosis unit, and an alarm and recording unit. The status monitoring unit is used to monitor the system operating status, the fault diagnosis unit is used to diagnose system faults, and the alarm and recording unit is used to alarm and record fault information.

[0013] Preferably, the communication transmission module includes an internal data communication unit, an external data interaction unit, and a data encryption unit, wherein the internal data communication unit is used to transmit data within the system, the external data interaction unit is used to exchange data with the outside, and the data encryption unit is used to encrypt data.

[0014] Preferably, the human-computer interaction module includes a display unit, an operation control unit, and a user management unit, the display unit is used to display system information, the operation control unit is used to receive operation instructions, and the user management unit is used to manage user permissions.

[0015] In summary, compared with the prior art, the beneficial effects of the present invention are: through innovative system architecture design, adaptive antenna design and advanced data processing algorithms, the interference of multipath signals on the radar system is effectively reduced, and the accuracy and clarity of target detection and positioning are improved. In addition, the system's adaptability and real-time processing capabilities enable it to quickly adapt to different multipath environments, ensuring stable operation in various complex scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural diagram of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 , the present invention provides a technical solution:

[0019] The invention relates to an adaptive radar system and algorithm optimization method suitable for complex multipath environments, comprising a signal sensing module, a multipath analysis module, an antenna control module, a data processing module, a target detection module, an intelligent decision-making module, a system monitoring module, a communication transmission module, and a human-computer interaction module. The signal sensing module is used to collect radar echo signals and surrounding environment data, and is an entry point for the entire radar system to obtain original information; the multipath analysis module is used to deeply analyze the multipath signals in the radar echo, construct a multipath propagation model and evaluate the interference degree to the radar system; the antenna control module dynamically adjusts the various parameters of the antenna array according to the multipath analysis results to optimize the signal reception effect and reduce multipath interference; the data processing module performs multi-faceted analysis on the radar echo signals. Processing, separation of multipath interference signals, fusion of multi-channel data, and extraction of target signal features; the target detection module extracts target features from the processed signal, identifies the target type and motion state, and calculates the target position coordinates; the intelligent decision-making module generates optimization strategies and manages system resources based on the information of each module of the system to achieve overall system performance optimization and intelligent operation; the system monitoring module monitors the operating status of each module of the system in real time, diagnoses faults, issues alarms and records relevant information to ensure stable and reliable operation of the system; the communication transmission module is responsible for data communication and interaction between the inside and outside of the radar system; the human-computer interaction module provides an interactive interface between the operator and the radar system to realize information display, operation control and user management, and improve the convenience and safety of system operation.

[0020] The signal sensing module includes an ultra-wideband antenna unit, a signal acquisition unit, and an environmental data acquisition unit. The ultra-wideband antenna unit is used to receive multi-band radar echo signals, the signal acquisition unit is used to process and convert the received radio frequency signals into digital signals, and the environmental data acquisition unit is used to collect temperature and humidity environmental information.

[0021] The multipath analysis module includes a multipath signal recognition unit, a multipath propagation modeling unit, and a multipath interference evaluation unit. The multipath signal recognition unit is used to distinguish the target from the multipath signals. The multipath propagation modeling unit is used to construct a multipath propagation model. The multipath interference evaluation unit is used to quantify the impact of multipath interference. In the multipath signal recognition unit, the discrete signal function is Rxs[m] = ∑(n=-∞ to ∞) x[n] * s[n - m], where x[n] is the received discrete radar echo signal, s[n] is the target signal template, and m is the delay. The target signal is determined by finding the value of m that maximizes Rxs[m]. The multipath signal interference is judged based on the combination of energy and cross-correlation. The signal energy formula is Ex = ∑(n=-∞ to ∞) |x[n]|^2 (Ex is the energy of the received signal x[n]), and Es = ∑(n=-∞ to ∞) |s[n]|^2 (Es is the energy of the target signal s[n]). The interference judgment condition is: if Rxs[m0] (the maximum value of Rxs[m], and m0 is the corresponding delay) satisfies Rxs[m0]^2 / (Ex * Es) < T2 (T2 is the set threshold), then it is determined that there is multipath signal interference. In the multipath propagation modeling unit, the formula for calculating the two-dimensional plane reflection path length is L = √((x - 0)^2 + (y - 0)^2) + √((xt - x)^2 + (yt - y)^2), where the radar is at the coordinate origin (0,0), the reflection point coordinates are (x,y), and the target position is (xt,yt), and L is the reflection path length. The calculation of the phase delay of the reflected signal is: φ = (2π / λ) * L, where λ is the wavelength of the transmitted signal, φ is the phase delay of the reflected signal, and L is the above-mentioned reflection path length. In the multipath interference evaluation unit, the formula for calculating the signal-to-interference ratio (SIR) is SIR = 10 * log10(Ps / Pmp), where Ps is the target signal power and Pmp is the multipath interference signal power. The degree of multipath interference is judged according to the SIR value. The formula for calculating the target signal power (in the case of discrete signals) is Ps = (1 / (n2 - n1)) * ∑(n=n1 to n2) |x[n]|^2, where x[n] is the discrete signal, the interval from n1 to n2 is the interval where the target signal is located, and Ps is the target signal power. The formula for calculating the multipath interference signal power (combined with the total received signal power) is Ptotal = (1 / N) * ∑(n=1 to N) |x[n]|^2 (Ptotal is the total received signal power, and N is the total number of signal points), and Pmp = Ptotal - Ps.

[0022] The antenna control module includes a phased array control unit, an adaptive adjustment unit, and a polarization control unit. The phased array control unit is used to adjust the antenna beam direction. The adaptive adjustment unit is used to change the antenna gain distribution. The polarization control unit is used to switch the antenna polarization mode.

[0023] The data processing module includes an adaptive filtering unit, a multi-channel fusion unit, and a time-frequency analysis unit. The adaptive filtering unit is used to separate the target and the multipath signal, the multi-channel fusion unit is used to fuse the multi-channel radar data, and the time-frequency analysis unit is used to analyze the signal time-frequency characteristics.

[0024] The target detection module includes a feature extraction unit, a target recognition unit, and a positioning calculation unit. The feature extraction unit is used to obtain target features, the target recognition unit is used to identify the target type, and the positioning calculation unit is used to calculate the target position.

[0025] The intelligent decision-making module includes a strategy generation unit, a learning and optimization unit, and a resource management unit. The strategy generation unit is used to generate system operation strategies, the learning and optimization unit is used to optimize strategies based on data, and the resource management unit is used to allocate system resources.

[0026] The system monitoring module includes a status monitoring unit, a fault diagnosis unit, and an alarm and recording unit. The status monitoring unit is used to monitor the system operation status, the fault diagnosis unit is used to diagnose system faults, and the alarm and recording unit is used to alarm and record fault information.

[0027] The communication transmission module includes an internal data communication unit, an external data exchange unit, and a data encryption unit. The internal data communication unit is used to transmit data within the system, the external data exchange unit is used to exchange data with the outside, and the data encryption unit is used to encrypt data.

[0028] The human-computer interaction module includes a display unit, an operation control unit, and a user management unit. The display unit is used to display system information, the operation control unit is used to receive operation instructions, and the user management unit is used to manage user permissions.

[0029] Working principle:

[0030] The signal sensing module is the entry point for the system to obtain original information. The ultra-wideband antenna unit receives multi-band radar echo signals. Its broadband characteristics can capture rich electromagnetic signal information. The signal acquisition unit processes the weak radio frequency signals received by the ultra-wideband antenna unit and converts them into digital signals for subsequent digital processing. The environmental data acquisition unit collects environmental information such as temperature and humidity. This information is crucial for understanding the propagation characteristics of electromagnetic waves in complex environments and provides a data basis for the multipath analysis module.

[0031] The multipath analysis module deeply analyzes the multipath signals in the radar echo. The multipath signal recognition unit uses specific algorithms to accurately distinguish the target from the multipath signals, clarifying the target for subsequent targeted processing. The multipath propagation modeling unit constructs a multipath propagation model based on environmental data and the radar's own position and terrain data, using ray tracing or electromagnetic propagation simulation algorithms to simulate characteristics such as the propagation path of the multipath signals, providing a basis for the system to understand the generation and propagation mechanism of the multipath signals. The multipath interference assessment unit quantifies the impact of multipath interference on radar target detection and positioning. Its assessment results provide key data support for the intelligent decision-making module to generate multipath suppression strategies. In the multipath signal recognition unit, the received discrete radar echo signal is x[n], the target signal template is s[n], the delay is m, and the discrete signal function Rxs[m] = ∑(n = -∞ to ∞) x[n] * s[n - m]. To distinguish the target from the multipath signals, the m value m0 that maximizes Rxs[m], the signal energy formula Ex = ∑(n = -∞ to ∞) |x[n]|², the target signal energy formula Es = ∑(n = -∞ to ∞) |s[n]|², and the interference judgment condition: if Rxs[m0]² / (Ex * Es) < T2 (T2 is a set threshold), then it is determined that there is multipath signal interference. In the multipath propagation modeling unit, the two-dimensional plane reflection path length calculation formula is L = √((x - 0)² + (y - 0)²) + √((xt - x)² + (yt - y)²), where the radar is at the coordinate origin (0, 0), the reflection point coordinates are (x, y), the target position is (xt, yt), the wavelength of the transmitted signal is λ, and the reflection signal phase delay calculation formula is φ = (2π / λ) * L (L is the above reflection path length). In the multipath propagation modeling unit, the signal-to-interference ratio (SIR) calculation formula is SIR = 10 * log10(Ps / Pmp), where the target signal power is Ps, the multipath interference signal power is Pmp, the target signal power calculation (for discrete signals) formula is Ps = (1 / (n2 - n1)) * ∑(n = n1 to n2) |x[n]|² (x[n] is a discrete signal, and the interval from n1 to n2 is the interval where the target signal is located), the total received signal power calculation formula is Ptotal = (1 / N) * ∑(n = 1 to N) |x[n]|² (Ptotal is the total received signal power, and N is the total number of signal points), and the multipath interference signal power calculation is Pmp = Ptotal - Ps;

[0032] The antenna control module dynamically adjusts the antenna array parameters according to the multipath analysis results. The phased array control unit achieves rapid beam scanning, pointing control and beam forming by accurately controlling the phase of each unit of the phased array antenna, and directs the beam to the direction where the target signal is strong and the multipath interference is small. The adaptive adjustment unit calculates and adjusts the antenna array gain distribution in real time based on the received radar echo signal strength and phase information, reduces the gain in the direction with strong multipath interference, and increases the gain in the direction with weak target signals. The polarization control unit adjusts the antenna polarization mode according to the difference in polarization characteristics between the multipath signal and the target signal, reduces the correlation between the two, and improves the target signal-to-noise ratio.

[0033] The data processing module processes the radar echo signal in many aspects. The adaptive filtering unit adopts an adaptive filtering algorithm to dynamically adjust the filter coefficient according to the time-varying characteristics of the multipath signal, effectively separating the target signal from the multipath interference signal. The multi-channel fusion unit fuses the radar data of different antenna units or frequency channels, combining the advantages of each channel to improve the accuracy and reliability of target detection. The time-frequency analysis unit uses the time-frequency analysis method to perform a joint analysis of the radar echo signal in the time and frequency domains, extract the time-frequency characteristic parameters of the target signal, provide rich information for target detection and positioning, and assist the adaptive filtering unit in optimizing the multipath signal separation algorithm.

[0034] The target detection module extracts target features from the processed signal and identifies the target. The feature extraction unit extracts key features such as radar scattering cross-section, Doppler frequency shift, and echo pulse width of the target from the signal processed by the data processing module to provide basic data for target identification and positioning calculation. The target identification unit uses machine learning or deep learning algorithms to match and classify the extracted target features with the pre-established target feature library to determine the target type and motion state. The identification result provides the positioning calculation unit with target type-related information to assist in more accurate positioning calculation. The positioning calculation unit uses the positioning algorithm to calculate the target position coordinates based on the arrival time, arrival angle, Doppler frequency shift and other information of the target signal and the geometric layout of the antenna array, combined with the environmental correction information provided by the multipath analysis module. The accuracy of the calculation result is affected by the result of the multipath interference evaluation unit. At the same time, the positioning result can be fed back to the intelligent decision-making module to assist in system resource allocation and task scheduling;

[0035] The intelligent decision-making module generates optimization strategies and manages system resources based on the information of each module of the system. The strategy generation unit generates strategies such as antenna control, data processing algorithm optimization, and system resource allocation based on multipath analysis, target detection, and system performance requirements. The generated strategies directly command the adjustment of the operating parameters of each related module, such as the beam adjustment strategy of the antenna control module and the algorithm optimization direction of the data processing module, and continuously revise the strategy content based on the operation feedback of each module. The learning and optimization unit uses machine learning algorithms to learn and analyze the operation data of the radar system in different multipath environments and optimize the decision-making strategy. The learning process depends on the operation data of each module of the system, such as the multipath environment data of the multipath analysis module and the detection result data of the target detection module. The optimized strategy is applied to each module of the system through the strategy generation unit to improve the intelligence level and adaptability of the system. The resource management unit manages the hardware and software resources of the radar system. According to the resource allocation strategy of the strategy generation unit, resources are reasonably allocated to ensure the efficient operation of each module. The resource allocation situation affects the operation efficiency of each module, such as allocating more computing resources to the data processing module to cope with the large amount of data processing requirements in a complex multipath environment. At the same time, the resource requirements of each module are fed back to the resource management unit to prompt it to dynamically adjust the resource allocation plan;

[0036] The system monitoring module monitors the operating status of each module of the system in real time. The status monitoring unit monitors the hardware operating status (such as temperature, voltage and current, etc.) and software operating status (such as algorithm execution time, data processing real-time, etc.) of each module in real time through sensors and software tools. Its monitoring data provides basic data for the fault diagnosis unit, and can also be fed back to the intelligent decision-making module to assist in system resource allocation and performance optimization decision-making. When the status monitoring unit detects an abnormality, the fault diagnosis unit uses the fault diagnosis model and knowledge base to analyze and locate the fault, determine the faulty module, component or algorithm link and evaluate the severity. Its diagnosis results provide information sources for the alarm and recording unit, and the fault diagnosis model can be continuously learned and updated according to new fault cases to improve the accuracy and efficiency of diagnosis. After the fault diagnosis unit determines the fault, the alarm and recording unit issues an alarm to remind the operator and records the fault-related information in detail. The recorded information can be used by maintenance personnel for subsequent fault analysis, maintenance and system performance evaluation, and can also be fed back to the intelligent decision-making module to assist in optimizing the system reliability design and operation management strategy;

[0037] The communication transmission module is responsible for the data communication and interaction between the radar system and the outside. The internal data communication unit adopts a high-speed data bus and a unified protocol to ensure fast and accurate data transmission between modules within the system. The data transmitted includes control instructions and processing data between modules, such as transmitting the data collected by the signal perception module to the multipath analysis module, and transmitting the strategy generated by the intelligent decision-making module to each execution module. The communication quality affects the overall operation efficiency and coordination of the system. The external data interaction unit realizes data exchange between the radar system and external devices or systems, and supports a variety of communication interfaces and protocols. The data transmitted, such as transmitting the target detection results to the command center, receiving external control instructions, etc., works in coordination with the internal data communication unit to ensure the smooth flow of data inside and outside the system, and the security requirements of external data interaction prompt the work of the data encryption unit. The data encryption unit encrypts the data of internal and external data communication interactions to ensure data security and confidentiality. Its encryption algorithm and key management are controlled by the system security policy. The encrypted data is transmitted through the internal data communication unit or the external data interaction unit to ensure that the data is not stolen, tampered with or forged during the transmission process, and maintain the information security of the radar system.

[0038] The human-computer interaction module provides an interactive interface between the operator and the radar system. The display unit intuitively displays the radar system working status information (such as target detection results, operating status of each module, multipath environment information, etc.) and alarm information through a graphical interface. The displayed information comes from each module of the system, such as the detection results of the target detection module, the alarm information of the system monitoring module, etc., providing the operator with an intuitive understanding of the overall operation of the system and assisting in operation decision-making. The operation control unit provides an operation interface for the operator, parses and processes the operation instructions and sends them to the corresponding module for execution, such as setting the radar system working parameters, issuing task instructions, etc. The operation instructions affect the operating status of each module of the system, such as adjusting the scanning parameters of the signal perception module, starting the target search task of the target detection module, etc., and the operation feedback information can be displayed to the operator through the display unit. The user management unit manages the user rights of the radar system and ensures that only authorized users can access the operating system through multiple identity authentication methods. Its authority management rules affect the operator's use scope and function restrictions on the operation control unit, ensuring the security and stability of the system, and the user operation records can be recorded and analyzed by the system monitoring module to assist in system security management and troubleshooting;

[0039] The modules collaborate with each other and exchange data closely, forming a complete closed-loop system to jointly cope with complex multipath environments and improve key performance indicators of the radar system, such as multipath anti-interference capability, positioning accuracy and signal clarity.

[0040] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An adaptive radar system and algorithm optimization method suitable for complex multipath environments, including a signal perception module, a multipath analysis module, an antenna control module, a data processing module, a target detection module, an intelligent decision-making module, a system monitoring module, a communication transmission module, and a human-computer interaction module, characterized in that: The signal sensing module is used to collect radar echo signals and surrounding environment data, and is the entry point for the entire radar system to obtain original information; the multipath analysis module is used to deeply analyze the multipath signals in the radar echo, build a multipath propagation model and evaluate its interference degree to the radar system; the antenna control module dynamically adjusts the various parameters of the antenna array according to the multipath analysis results to optimize the signal reception effect and reduce multipath interference; the data processing module performs multi-faceted processing on the radar echo signal, separates the multipath interference signal, fuses multi-channel data, and extracts the target signal characteristics; the target detection module extracts the target characteristics from the processed signal, identifies the target type and motion state, and calculates the target position coordinates; the intelligent decision-making module generates optimization strategies and manages system resources according to the information of each module of the system, so as to achieve overall system performance optimization and intelligent operation; the system monitoring module monitors the operating status of each module of the system in real time, diagnoses faults, issues alarms and records relevant information to ensure stable and reliable operation of the system; the communication transmission module is responsible for data communication and interaction between the inside and outside of the radar system; the human-computer interaction module provides an interactive interface between the operator and the radar system to achieve information display, operation control and user management, and improve the convenience and safety of system operation.

2. The adaptive radar system and algorithm optimization method suitable for complex multipath environments according to claim 1, characterized in that: The signal sensing module includes an ultra-wideband antenna unit, a signal acquisition unit, and an environmental data acquisition unit. The ultra-wideband antenna unit is used to receive multi-band radar echo signals, the signal acquisition unit is used to process and convert the received radio frequency signals into digital signals, and the environmental data acquisition unit is used to collect temperature and humidity environmental information.

3. The adaptive radar system and algorithm optimization method suitable for complex multipath environments according to claim 1, characterized in that: The multipath analysis module includes a multipath signal recognition unit, a multipath propagation modeling unit, and a multipath interference evaluation unit. The multipath signal recognition unit is used to distinguish the target from the multipath signals. The multipath propagation modeling unit is used to construct a multipath propagation model. The multipath interference evaluation unit is used to quantify the impact of multipath interference. In the multipath signal recognition unit, the discrete signal function is Rxs[m] = ∑(n = -∞ to ∞) x[n] * s[n - m], where x[n] is the received discrete radar echo signal, s[n] is the target signal template, m is the delay amount. The target signal is judged by finding the m value that maximizes Rxs[m]. The multipath signal interference is judged based on the combination of energy and cross-correlation. The signal energy formula is Ex = ∑(n = -∞ to ∞) |x[n]|^2 (Ex is the energy of the received signal x[n]), Es = ∑(n = -∞ to ∞) |s[n]|^2 (Es is the energy of the target signal s[n]). The interference judgment condition: If Rxs[m0] (the maximum value of Rxs[m], m0 is the corresponding delay amount) satisfies Rxs[m0]^2 / (Ex * Es) < T2 (T2 is the set threshold), then it is determined that there is multipath signal interference. In the multipath propagation modeling unit, the calculation formula for the two-dimensional plane reflection path length is L = √((x - 0)^2 + (y - 0)^2) + √((xt - x)^2 + (yt - y)^2), where the radar is at the coordinate origin (0, 0), the reflection point coordinates are (x, y), the target position is (xt, yt), and L is the reflection path length. The calculation of the phase delay of the reflected signal is: φ = (2π / λ) * L, where λ is the wavelength of the transmitted signal, φ is the phase delay of the reflected signal, and L is the above-mentioned reflection path length. In the multipath interference evaluation unit, the calculation formula for the signal-to-interference ratio (SIR) is SIR = 10 * log10(Ps / Pmp), where Ps is the target signal power and Pmp is the multipath interference signal power. The degree of multipath interference is judged according to the SIR value. The calculation formula for the target signal power (in the case of discrete signals) is Ps = (1 / (n2 - n1)) * ∑(n = n1 to n2) |x[n]|^2, where x[n] is the discrete signal, the interval from n1 to n2 is the interval where the target signal is located, and Ps is the target signal power. The calculation formula for the multipath interference signal power (combined with the total received signal power) is Ptotal = (1 / N) * ∑(n = 1 to N) |x[n]|^2 (Ptotal is the total received signal power, N is the total number of signal points), and Pmp = Ptotal - Ps.

4. The adaptive radar system and algorithm optimization method suitable for complex multipath environments according to claim 1, characterized in that: The antenna control module includes a phased array control unit, an adaptive adjustment unit, and a polarization control unit. The phased array control unit is used to adjust the antenna beam direction. The adaptive adjustment unit is used to change the antenna gain distribution. The polarization control unit is used to switch the antenna polarization mode.

5. The adaptive radar system and algorithm optimization method suitable for complex multipath environments according to claim 1, characterized in that: The data processing module includes an adaptive filtering unit, a multi-channel fusion unit, and a time-frequency analysis unit. The adaptive filtering unit is used to separate the target and the multipath signal, the multi-channel fusion unit is used to fuse the multi-channel radar data, and the time-frequency analysis unit is used to analyze the time-frequency characteristics of the signal.

6. The adaptive radar system and algorithm optimization method suitable for complex multipath environments according to claim 1, characterized in that: The target detection module includes a feature extraction unit, a target recognition unit, and a positioning calculation unit. The feature extraction unit is used to obtain target features, the target recognition unit is used to identify the target type, and the positioning calculation unit is used to calculate the target position.

7. The adaptive radar system and algorithm optimization method suitable for complex multipath environments according to claim 1, characterized in that: The intelligent decision-making module includes a strategy generation unit, a learning and optimization unit, and a resource management unit. The strategy generation unit is used to generate a system operation strategy, the learning and optimization unit is used to optimize the strategy based on data, and the resource management unit is used to allocate system resources.

8. The adaptive radar system and algorithm optimization method suitable for complex multipath environments according to claim 1, characterized in that: The system monitoring module includes a status monitoring unit, a fault diagnosis unit, and an alarm and recording unit. The status monitoring unit is used to monitor the system operation status, the fault diagnosis unit is used to diagnose system faults, and the alarm and recording unit is used to alarm and record fault information.

9. The adaptive radar system and algorithm optimization method suitable for complex multipath environments according to claim 1, characterized in that: The communication transmission module includes an internal data communication unit, an external data exchange unit, and a data encryption unit. The internal data communication unit is used to transmit data within the system, the external data exchange unit is used to exchange data with the outside, and the data encryption unit is used to encrypt data.

10. The adaptive radar system and algorithm optimization method suitable for complex multipath environments according to claim 1, characterized in that: The human-computer interaction module includes a display unit, an operation control unit, and a user management unit. The display unit is used to display system information, the operation control unit is used to receive operation instructions, and the user management unit is used to manage user permissions.

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