Small range localization using wireless ultrasound sensor network

In the previous couple of years, innovative advances in electrical devices have resulted in low price, effective power consumption of small Wireless Sensor Network (WSN). Numerous new methods were being investigated to localize mobile targets in the indoor environment due to its strong tracking problems and object localization, WSN has attracted high attention and many research works were being done on it. Due to the need of attainting high precision and accuracy in the electronic world, the need of achieving high localization accuracy, lower cost price and smallest form factor is essential. Localization techniques such as Received Signal Strength Indicator (RSSI) is one of the famous research application that is being explored on. Analytical localization which involve the use of Triangulation and Trilateration is another type of localization method. As the WSN system involved the use of ultrasonic sensors, the use of ultrasound will resulted in noise being introduced which will affected the distance measurements and thus produce inaccurate experimental results. Therefore, Kalman filter was used and implemented in the project due to its iterative state estimator and especially useful in tracking objects target with noisy measurements. The range-based localization system commonly involves in two steps. The first step is to calculate the range measurement that is conducted between the target object and four reference nodes. The second step is the position calculation of the target node based on the Time of Arrival (TOA) ranging technique.Bachelor of Engineerin