By Lawrence A. Klein
This ebook illustrates some great benefits of sensor fusion through contemplating the features of infrared, microwave, and millimeter-wave sensors, together with the impact of the ambience on their functionality. subject matters contain functions of multiple-sensor structures; objective, historical past, and atmospheric signature-generation phenomena and modeling; and techniques of mixing multiple-sensor facts in aim identification and tracking info fusion architectures. the data during this variation has been considerably increased and up-to-date to include fresh techniques to sensor and information fusion and alertness examples. Read more...
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Extra info for Sensor and data fusion : a tool for information assessment and decision making
Noise figures are larger still at higher frequencies. Since the higher-frequency technologies are newer and applications fewer, there are typically fewer active components available in integrated circuit designs. 7 Absorption of MMW Energy in Rain and Fog Rain affects the propagation of millimeter waves through absorption and backscatter. 21,22,23,24 For two-way radar applications, the absorption coefficient is doubled and then multiplied by the 26 SENSOR AND DATA FUSION: A TOOL FOR INFORMATION ASSESSMENT AND DECISION MAKING range between transmitter and target to get the absorption in decibels by which the energy reaching the sensor is reduced.
At higher frequencies, the drop-size distribution measurement errors in the small drop-size range affected the accuracy of the absorption versus the rain-rate relationship. Therefore, effects produced by different droplet-size models could not be differentiated from effects due to absorption at these frequencies. The agreement of the modeled data with measured values allows the prediction of atmospheric absorption in rain over large regions of the millimeter-wave spectrum and rainrate variation when measured values are lacking.
In this sensorlevel fusion configuration, each sensor processes its data with algorithms that are tailored and optimized to the received frequency band, active or passive nature of the sensor, spatial resolution and scanning characteristics, target and background signatures, polarization information, etc. Results of the individual sensor processing are forwarded to a fusion processor where they are combined to produce a validated target or no-target decision. 5 Sensor fusion concept for ATR using multiple sensor data.