Study on Sensor Measurements Simulation in Track-before-Detect Applications

Track-before-detect(TBD) is an efficient method of target detection and tracking in low signal-to-noise ratio(SNR) environment, which is based on unthresholded data of sensors and contacts in classical tracking cannot meet it.Whereas systemic research on the sensor simulation for TBD is absent currently, the TBD models for the familiar sensors such as radar, sonar and infrared(IR) in practical applications were established and unthreholded data of these sensors in single and multiple target scenario was produced by simulation.The results show that fidelity of sensor models is high, and this work offers not only reference for measurements simulation of other type of sensors but also facility for TBD algorithms' research.