6 results about "Propagation factor" patented technology

The application discloses a kind of based on interference perception prediction and time slot allocation's isomer domain network interference management method and system, belong to wireless communication technical field, method includes: coordinator in data transmission stage real-time observation current channel interference power, and in non-active period by channel hopping is carried out sparse sampling, update each channel's time slot interference weight and node propagation factor;Establish interference prediction model, predict the average interference intensity of each channel in future several frames;Inter-network game model is constructed, so as to select the communication channel that makes inter-network game model benefit function maximization;According to the prediction result of interference prediction model, local observation and time slot interference weight, obtain the interference power prediction value of each time slot in channel;Based on time slot interference power prediction value and node propagation factor, time slot is allocated for sensor node.The application is applicable to dynamic isomer domain network coexistence interference scene, and inter-network interference can be effectively reduced.

1. Name of the product under this design: Light Spot Mapper (LM‑01). 2. Purpose of this design product: to determine the diameter, position, power distribution and M2 beam propagation factor of the light spot by measuring the power density distribution. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention discloses an isomer domain network interference management method and system based on interference perception prediction and time slot allocation, and belongs to the technical field of wireless communication, and the method comprises the following steps: a coordinator observes the interference power of a current channel in real time in a data transmission stage, carries out sparse sampling through channel hopping in a non-active stage, and carries out sparse sampling; updating the time slot interference weight and the node propagation factor of each channel; establishing an interference prediction model, and predicting the average interference intensity of each channel in a plurality of frames in the future; constructing an inter-network game model so as to select a communication channel which maximizes a revenue function of the inter-network game model; obtaining an interference power prediction value of each time slot in the channel according to a prediction result of the interference prediction model, local observation and a time slot interference weight; and allocating a time slot to the sensor node based on the time slot interference power predicted value and the node propagation factor. The method is suitable for a dynamic isomer domain network coexistence interference scene, and inter-network interference can be effectively reduced.

The invention relates to a semi-deterministic sea-land hybrid propagation channel path loss prediction method, which performs classification processing on obstacle terrains based on a propagation theory, introduces empirical propagation factors of sea-land hybrid propagation into a model, and significantly improves the precision and applicability of path loss prediction. According to the method, the difference between the sea surface and the land in propagation characteristics and the coupling effect of the sea surface and the land are fully considered, and cooperative calculation of perpendicular incidence, reflection and diffraction components in a propagation path is achieved through comprehensive modeling of multi-dimensional factors such as topographic relief, earth surface reflection coefficients, meteorological conditions and air-sea boundary layer structures. Meanwhile, a parameter calibration and correction mechanism based on measured data is introduced, so that the model can adjust key propagation parameters according to different antenna erection heights so as to adapt to prediction requirements under different frequency bands, propagation distances and environmental conditions, and very high prediction precision and environmental generalization ability are embodied.

The invention provides a method and a device for simulating the coverage range of a water conservancy rain measuring radar, and aims to solve the problem of coverage blind areas caused by topographic relief and equipment performance. The method comprises the following steps: converting a three-dimensional terrain into a distance-height two-dimensional profile by inputting radar parameters, terrain data and atmospheric parameters, solving electromagnetic wave distribution by utilizing a parabolic equation, calculating two-dimensional path loss by combining a propagation factor formula, accumulating into three-dimensional path loss data, and outputting a coverage simulation result by combining a radar detection capability threshold value. Taking a network of three radars in a certain river basin as an example, simulation shows that the coverage area is increased to 17848.9 km from 11580.7 km on average in a single station, and the dead zone proportion is reduced to 21.43% from 24.77%. Technical support can be provided for monitoring layout optimization of'three defense lines' of a watershed and type selection of rain-measuring radar equipment.

The present invention belongs to the field of wireless communication network technology and provides a ray tracing-based modeling and system for over-the-horizon emergency communication in an evaporation duct. The method includes calculating the vertical distribution of atmospheric thermodynamic temperature, atmospheric pressure, and water vapor pressure, thereby inverting the evaporation duct parameters and obtaining the vertical distribution of the refractive index; tracing ray trajectories based on the vertical distribution of the refractive index; comparing the height of each ray at a horizontal distance from the receiving antenna with the height of the receiving antenna to obtain possible eigenrays that meet preset conditions; determining whether the possible eigenrays are eigenrays, and screening all eigenrays to find several eigenrays with significantly different paths as the central rays of a ray tube with an opening angle of #imgabs0#; calculating the maximum height difference of all rays in the ray tube at a horizontal distance from the receiving antenna to obtain the vertical cross-sectional width of the ray tube, and using this to calculate the propagation factor and path loss of each eigenray.