42results about How to "Improve data update rate" patented technology

The invention discloses a star sensor with ultrahigh precision, which comprises an optical imaging system, an imaging sensor, an imaging sensor drive unit, a two-path centroid imaging unit, a star tracking unit, a star pattern recognition unit, an attitude calculation unit and a navigation star database. The star sensor is characterized in that two-path centroid tracking imaging technology is introduced to the star sensor of image sensor with pixel planar array of 2048*2048; two-path pixel data are read and processed at the same time; and when star tracking is conducted, the non-window matching tracking without feedback based on locating information is adopted. Therefore, the precision and the data updating rate of the star sensor are greatly improved.

The invention discloses a high-precision information processing system for a star sensor. According to the high-precision information processing system, a FPGA module comprises a photoelectric detector time sequence generator module, an image processing module, a protocol layer data interaction control module, a CPU collaborative working interface module, a data management module and a precision temperature control module, wherein the photoelectric detector time sequence generator module is used for transmitting a detector driving signal, the image processing module is used for receiving and processing star map data output by a detector, the protocol layer data interaction control module is used for carrying out protocol interaction with external equipment, the CPU collaborative working interface module is connected to an external CPU processor, and the data management module is used for managing various data packages. The high-precision information processing system has the advantagesthat the calculation load of a CPU is shared, and the parallel information processing capability is remarkably improved; the time sequence control, image background estimation and star point mass center extraction of the photoelectric detector are completed in real time, so that the requirements of real-time image processing and anti-stray-light high-reliability image processing strategies are met; and the temperature of the detector is acquired in real time, a precision temperature control technology for a semiconductor refrigerator is achieved, the integration degree of a circuit system isimproved, the cost is conveniently lowered, the product miniaturization is facilitated, and the measurement precision of the star sensor is improved.

The invention relates to an autonomous all-weather stellar refraction satellite location method. The method comprises the following steps: observing and acquiring a star map by adopting a CCD (charge coupled device) with a saturation inhibition function, performing the image processing on the acquired star map, and extracting a non-refracted star and a refracted star; matching the star map with a star map of a navigation star catalogue by utilizing a triangular matching algorithm to acquire the right ascension and declination of each star on the star map; searching the star map for a fixed star which is closest to each refracted star to be used as a corresponding star of the refracted star, and calculating a refraction angle gamma of each refracted star; calculating the tangential height h of each refracted star according to an atmosphere model and the refraction angle; and selecting three refracted stars on the observation star map, and calculating the position of a satellite under earth centered inertial system according to the right ascensions, declinations and tangential heights h of the three refracted star. By adopting the method, the all-weather high-precision astronomical autonomous navigation of the satellite is realized; moreover, the data updating rate is high, and the involved equipment is simple, low in cost and low in power consumption.

The invention discloses a DSP and FPGA parallel multi-mode star image processing method for a star sensor, the processing algorithm of a star image is classified and optimized according to different working modes of the star sensor, and star image processing can be completed jointly by the DSP and the FPGA. The method comprises the following steps: under a capture mode, the FPGA completes image filtering processing to obtain a quasi star point pixel, and the DSP performs capture mode processing on the quasi star point pixel; under non-high-dynamic tracking mode, the FPGA completes image window intercepting processing, and the DSP performs non-high-dynamic tracking mode processing on a window pixel; under a high-dynamic mode, the FPGA completes the image window intercepting processing while performing pixel binning, and the SP performs non-high-dynamic tracking mode processing on the window pixel; star image data preprocessed by the FPGA can be directly stored in the chip of the FPGA, and an external image memory is not needed. According to the method, the star image processing speed is effectively increased on the premise that the accuracy is not affected, and the system configuration is simplified.

The present invention provides a method for noise reduction of ground-based synthetic aperture radar data, comprising the following steps: Step S1: arranging at least two joint monitoring stations in the monitoring area of ​​the ground-based radar, and arranging a Beidou differential reference station in the stable area; step S2: passing The ground-based radar measures the deformation measurement value of the joint monitoring station, corrects the deformation measurement value based on the vector projection distance weighted atmospheric correction method, and obtains the radar observation value after atmospheric correction; Step S3: obtain the real-time data of the joint monitoring station through the Beidou differential reference station Three-dimensional displacement measurement value; Step S4: use the Kalman filter algorithm to fuse the radar observation value and the three-dimensional displacement measurement value after atmospheric correction to obtain the deformation value of the joint monitoring station. The invention takes into account the azimuth atmospheric effect in the atmospheric correction of the radar, and makes up for the deficiency that the existing atmospheric correction algorithm does not consider the azimuth atmospheric effect; the ground-based radar and the Beidou are used for data fusion to realize the fusion of the advantages of the two.

The invention discloses a laser active imaging detection system. The laser active imaging detection system comprises a driving motor, a first decelerating mechanism, a multi-line laser receiving module, a second decelerating mechanism, a reflector and a multi-line laser transmitting module. A laser active imaging detection method disclosed by the invention comprises the following processes: the multi-line laser transmitting module transmits multi-line laser to be irradiated onto the reflector, the reflected light is irradiated onto a detection target and reflected back, the laser reflected bythe reflector is always parallel to the optical axis of the multi-line laser receiving module, the multi-line laser receiving module receives the reflected laser, and the driving motor drives the first decelerating mechanism, the multi-line laser receiving module, the second decelerating mechanism and the reflector to rotate, thereby realizing detection on different positions of the target and completing high-speed and high-definition detection on the target in a specific field angle range.

The invention discloses a passive coherent location radar-based unmanned aerial vehicle real-time monitoring system and method. The system comprises a data receiving unit, a data transmission unit, a real-time signal processing unit and a terminal display and control unit; the data receiving unit is used for receiving reference signals of a transmitting source and monitoring signals reflected by an unmanned aerial vehicle and inputting the signals to the real-time signal processing unit through the data transmission unit; and the data are processed by the real-time signal processing unit, so that the flight path of the unmanned aerial vehicle can be obtained and is displayed in real time on the terminal display and control unit. The passive coherent location radar-based unmanned aerial vehicle real-time monitoring system and method of the invention do not need frequency allocation, generate no electromagnetic pollution and can perform monitoring around the clock. The passive coherent location radar-based unmanned aerial vehicle real-time monitoring system and method have the advantages of high data processing speed, high data update rate, real-time monitoring, low development and maintenance cost and strong networking capacity.

The invention relates to an aeromagnetic field vector detecting device and a detecting method, a DFB laser which has the same lasing frequency with an alkali metal atom D1 wire is adopted as a pump light source, the light emitted by the DFB laser generates circular polarization pump light polarized alkali metal atoms with free adjustable laser power through an optical isolator, an optical attenuator, a polarizer and a lambda / 4 wave plate, and the atom is made to have macroscopic magnetic moment. A detected weak magnetic field in a y axis direction makes the magnetic moment to generate Larmor precession on an xoz plane around the y axis. The polarization plane rotation of the linearly polarized light caused by circular dichroism of a polarized atom, the pump light is removed, the deflection angle gradually vibrates and attenuates to zero, a zero-cross detection device is adopted to detect the time difference between the time of removing the pump light and the first zero crossing point, the Larmor prescession frequency can be obtained, and a magnetic-field vector value is obtained by dividing the Larmor prescession frequency by a gyromagnetic ratio. According to the invention, the device and the method have the advantages of high magnetic-field vector detection precision, fast response frequency and good repeatability, and are suitable for aeromagnetic field vector detecting mobile platform magnetic measurement.

The invention discloses an update-rate-variable image collection and treatment unit and method of a star sensor. The unit comprises a CPU (Central Processing Unit), an FPGA (Field Programmable Gate Array), a detector of the star sensor and an SRAM (Static Random Access Memory), wherein the FPGA comprises an RAM (Random Access Memory), a driving module and an image collection module; the CPU forms and writes a DUMP flag word into the RAM; the RAM transmits the DUMP flag word to the driving module; the driving module judges to generate a full frame output driving schedule or a DUMP output driving schedule according to the DUMP flag word, and transmits the full frame output driving schedule or the DUMP output driving schedule to the detector; the detector outputs a pixel gray level according to the full frame output driving schedule or the DUMP output driving schedule; the image collection module writes the pixel gray level into the SRAM. The update-rate-variable image collection and treatment unit and method are used for improving the parasitic-light-resistant capacity and the dynamic performance of the star sensor, decreasing the hardware cost of the star sensor and improving the data update rate of the star sensor.