15 results about "Radio detection" patented technology

The invention discloses an offshore small target radar detection method and system, and relates to the technical field of radio detection. The method comprises the following steps: acquiring radar echo data, a visible light image, an infrared image, an AIS signal and navigation attitude data in real time; performing sea clutter suppression and pre-filtering on the radar echo data, and correcting target plots in combination with a historical radar plot set to obtain a radar single-source target track set; performing target detection on the visible light image and the infrared image to obtain an optical target detection set and an infrared target detection set; the radar single-source target track set, the optical target detection set, the infrared target detection set, the AIS signals and the navigation attitude data are associated and fused, and finally deception feature recognition and consistency verification are performed to obtain an updated fused target track set; according to the method, man-made confrontation and cheating behaviors on the sea can be accurately identified, and reliable support is provided for safety monitoring on the sea, maritime affair supervision and emergency response.

The invention provides an unmanned aerial vehicle detection method, system and product based on radio fusion vision. The method comprises the following steps: respectively extracting radio characteristics of a target radio signal and image characteristics of a target visual image; carrying out feature fusion on the radio features and the image features to obtain a fusion feature vector; inputting the fusion feature vector into a trained unmanned aerial vehicle detection model for target detection, and obtaining a target detection frame and unmanned aerial vehicle category information; and inputting the target detection frame and the unmanned aerial vehicle category information into a dynamic weight distribution model for weighted correction to obtain a final unmanned aerial vehicle detection result. Compared with a traditional method, the method has the advantages that through radio and visual feature fusion, complex electromagnetic interference and severe environment influences such as strong light, backlight and haze can be resisted, the signal confusion problem of single radio detection is avoided, the imaging limitation of single visual detection is made up, the multi-scene detection requirement can be effectively met, and the detection precision and reliability are improved.

The present application relates to a kind of radar and radio system performance prediction and compensation method, belong to multi-physical field modeling, radar and radio signal processing and intelligent algorithm application technical field, the method includes feature extraction, feature fusion, performance prediction, model construction, minimization loss function training and power adjustment step, by the original signal of equipment and multidimensional meteorology, electromagnetic parameter are jointly input into neural network, by multi-branch feature extraction and cross-modal attention fusion structure, the performance attenuation of system under current environment and feasible compensation coefficient are output;The method is a kind of performance prediction and compensation method based on meteorology-electromagnetic-acoustic multi-physical field coupling framework and neural network, realizes the effective evaluation of the comprehensive influence of complex composite environment to radar and radio detection system performance.

The utility model belongs to the technical field of radio detection. The utility model provides a T-shaped receiving antenna array of a three-coordinate radar, which comprises five receiving antennas, namely a first antenna, a second antenna, a third antenna, a fourth antenna and a fifth antenna, and the five receiving antennas are of a T-shaped non-centrosymmetric structure. A first antenna, a second antenna and a third antenna are sequentially arranged on the T-shaped non-centrosymmetric structure from right to left in the horizontal direction. The third antenna, the fourth antenna and the fifth antenna are sequentially arranged in the vertical direction of the T-shaped non-centrosymmetric structure from top to bottom. The three receiving antennas in the horizontal direction can obtain target azimuth information, the three receiving antennas in the vertical direction can obtain target pitching information, one receiving antenna is shared to form a T-shaped structure, and the number of receiving channels is reduced. The distance difference between the central positions of the antennas is smaller than half of the wavelength, so that the measured angle is not fuzzy, the total length of the antennas is increased, and the angle measurement precision is improved.

A patient immersion sensor includes a radio detection and ranging (RADAR) apparatus to determine a time of flight (TOF) of a RADAR pulse and a reflected signal that is reflected by a patient or by a portion of a patient support surface supporting the patient. The TOF is indicative of an immersion depth or a distance toward bottoming out of a patient supported on the patient support surface, such as a mattress or a pad. The RADAR apparatus emits pulses of very short duration so as to be able to detect objects, such as a patient or a portion of a mattress or pad, at very close distances. The RADAR apparatus may use time-of-flight (TOF) between transmission of the pulse and receipt of a reflected signal to determine a distance toward bottoming out by the patient, thereby to determine if the patient is properly immersed into the patient support surface. Adjustments to inflation or deflation of one or more bladders are made to achieve a desired immersion amount within a tolerance range between upper and lower TOF thresholds.

The application belongs to the field of radio detection, and particularly relates to a phased array incoherent scatter radar background noise calculation method and system, aiming to solve the problem of calculating background noise in phased array incoherent scatter radar detection. The application comprises: calculating the sky noise temperature of a corresponding detection point according to any detection beam selected by the radar grating-free detection area; obtaining the spatial angle between the position of the sun and the position of the detection point, and combining the radar system parameters to determine the sun noise temperature of the detection point; determining the atmospheric noise temperature of the detection point according to the elevation angle of any detection beam and the detection environment temperature; and comprehensively calculating the sky noise temperature, the sun noise temperature, the atmospheric noise temperature and the system noise temperature of the radar itself to obtain the background noise temperature of the detection point. The application can accurately calculate the background noise temperature of the phased array incoherent scatter radar, and effectively obtain the background noise state of the radar detection.

The invention relates to a distributed low-slow small target photoelectric detection and identification system, and provides a distributed short-range photoelectric detection mode for solving the problems of weak protection capability, high protection cost and the like of radar, radio detection equipment and the like in an ultra-near low-altitude airspace in a low-slow small target prevention and control system taking an unmanned aerial vehicle as a main part. A plurality of low-cost short-range photoelectric detection devices are erected in a distributed networking manner, so that the functions of detection discovery, tracking identification, data fusion processing, situation display and the like of a threat target in an ultra-near low-altitude airspace are realized, and the coping requirements of ultra-near low-altitude defense are met. The deployment mode introduced by the system is an effective technical means for blind compensation detection in a conventional protection system, the detection loopholes of traditional detection equipment are made up, the detection efficiency and the equipment safety are improved, meanwhile, the deployment cost and difficulty of the ultra-near airspace are reduced, and an open networking mode is provided for protection of the ultra-near airspace.

The application belongs to the field of radio detection, and particularly relates to a signal and data processing method of a multi-base incoherent scatter radar, and aims to solve the problem that the conventional signal and data processing method is invalid for the multi-base incoherent scatter radar. The application comprises: dividing the detection distance range of the multi-base incoherent scatter radar beam into multiple detection distance gates, and calculating the signal autocorrelation functions of the detection distance gates; after time correction of the signals at the receiving station, determining the observation system equation constant based on the antenna gains of the transmitting station and the receiving station, the detection common height, and the radar transmitting power; fitting the signal autocorrelation functions according to the spectral ambiguity function, the plasma scattering theory power spectrum function, the observation system equation constant and the statistical error of the signal autocorrelation functions, and inversely obtaining the ionospheric parameters of the detection distance gates. The application is applied to the multi-base incoherent scatter radar, and effective ionospheric multi-parameter results are obtained.

The invention belongs to the technical field of deep learning, provides a low-altitude multi-modal data fusion method based on an attention mechanism, and realizes information fusion of multi-modal data of low-altitude primary radar, secondary radar, ADS-B, photoelectric video, radio detection and the like through a two-stage self-attention mechanism. According to the method, the track feature processing technology and the self-attention mechanism technology are combined, the problems of poor universality and learning performance in the prior art are solved, and the method has a heuristic effect on development of a universal multi-source data intelligent fusion framework in the fields of ground traffic management, air traffic management and the like. According to the method, various low-altitude multi-modal data input vectors with different sizes can be received and processed, and relevance, intention behaviors and the like among the vectors can be calculated, so that fusion and identification of the low-altitude multi-modal data are realized.

The invention discloses a radio prediction analysis method and system, and relates to the technical field of radio detection. In the method, geographical environment data of a target area and actually measured signal data of a monitoring station are firstly acquired, and the data comprise a field intensity value, an angle of arrival and a multipath time delay parameter; by constructing a three-dimensional propagation environment model and executing ray tracing calculation, a predicted field intensity value and an actually measured field intensity value are compared, and a mismatched monitoring station is identified. And for the mismatched stations, performing reverse ray tracing based on the signal arrival angle and the multipath time delay parameter, and determining an environment to-be-checked area. And performing clustering analysis on the to-be-checked area to determine a correction unit, correcting the environmental parameters according to the field intensity deviation value, and updating the model. And finally, performing performance evaluation on the plurality of candidate deployment schemes by using the updated model, and selecting an optimal scheme. By implementing the technical scheme provided by the invention, the accuracy of radio propagation detection can be improved.

The application discloses a multi-source information fusion low, slow and small target detection method and an unmanned air defense system, and is used for identifying and tracking low-altitude air balloons, black flying unmanned planes, bird flocks and other foreign objects, and comprises the following steps: based on the power indexes of photoelectric, radar and radio detection equipment, an integrated target perception matrix is established, and photoelectric images and data information of low, slow and small targets are acquired; a multi-source information fusion and target classification model is established, feature level information is respectively processed by constructing a base classifier for photoelectric, radar and radio detection, and is comprehensively processed at an identity level, so that multi-source verification identification results are obtained; ADS-B data is used for discriminating cooperative plane targets, and a radio detection white list spectrum library is used for discriminating cooperative unmanned plane targets and black flying unmanned plane targets; for the black flying unmanned plane targets, an interference strategy is determined according to the region of the belonging perception matrix; a fusion rule is designed, target position information is fused, and a situation display is performed on airspace target position and identity information.

A radio detection and ranging (radar) apparatus may include an antenna including a plate-shaped circuit board having one surface provided with a first element and a second element mounted thereon to transmit or receive radio waves, a radome configured to cover the one surface of the circuit board and including a protrusion protruding from an inner surface thereof at a side towards the circuit board, a shield configured to cover the first element and including a coupler that is detachably coupled to the protrusion, and a case coupled to the radome to cover the other surface of the circuit board.

The invention belongs to but is not limited to the technical field of radio detection direction finding, and discloses an omni-directional unambiguous direction finding method, device and system based on a rotating baseline, the method and the device form a spatial orthogonal array structure by four omni-directional antenna units, and a horizontal baseline and a vertical baseline can be adaptively adjusted. According to the device, a high-precision rotating mechanism drives an array to rotate at a constant speed, and a four-channel synchronous receiver is combined to construct multiple groups of measurement baselines. The method comprises the following steps: pre-calibrating and establishing a channel phase deviation compensation table; collecting data in real time and calculating the phase difference of each baseline; correcting phase ambiguity by adopting a first-order difference decomposition ambiguity algorithm; constructing a direction cosine matrix based on the geometrical relationship; an equation set is established through observation values at multiple moments, a target direction vector is solved through an optimization algorithm, and finally non-fuzzy accurate estimation of the azimuth angle and the pitch angle is achieved. The method solves the problem that a traditional system cannot realize full-space direction finding, and has the advantages of high precision, strong robustness and good adaptability.

The application relates to the technical field of radio detection, in particular to a dynamic reconstruction distributed active phased array unmanned aerial vehicle detection array system and a detection method, the system comprising a front unmanned aerial vehicle detection array for generating baseband data; a comprehensive information processing module for acquiring the baseband data emitted by the front unmanned aerial vehicle detection array and performing time-frequency synchronization, then performing cross-platform coherent signal processing on the baseband data to generate target detection information; a ground comprehensive display control module for generating control instructions according to a detection area, task planning and configuration and a working mode; and acquiring the target detection information, performing data processing and fusion processing of target characteristic data, and generating attitude information of the unmanned aerial vehicle detection array, and visually outputting the attitude information and the target. The application optimizes the arrangement radiation of radar signals through the distributed array of the unmanned aerial vehicle, and ensures the accuracy of target detection through array reconstruction after the unmanned aerial vehicle is damaged.