A NEW DESCRIPTIVE ESTIMATE OF DISTANCE ALGORITHMS UTILISING UWB TECHNOLOGY

Hybrid technology is adopted to control the motion of the Mobile Station (MS) and to detect the position of an indoor object with the help of Anchor Nodes (AN) as relay nodes using wireless technology of Ultra-Wide Band (UWB) frequency.The UWB frequency is the communication channel between the sender (AN) and the receiver (MS), but the UWB signal may suffer a delay in arriving at the receiver when there are obstacles (concrete wall, wooden wall, wooden door, brick wall) between them so the necessity for a Non-Line-of-Sight (NLOS) detection and mitigation strategy to precisely locate an MS in a harsh indoor environment is thus a significant restriction.The NLOS approach will complicate the positioning approach this delay causes an inaccurate distance from the actual physical measurement between the sender and the receiver, and thus the exact positioning calculation is wrong.The aims of this paper are ; a) To determine the position in accuracy for different types of wall materials when using UWB, b) To formulate the best distance estimation algorithm based on different localization approaches, c) To validate the proposed algorithm with different localization approaches in a real environment.In this paper, we use UWB technologies to build a novel indoor location algorithm called Enhanced Linearized Least Square (ELLS) method without employing an NLOS identification method.In a challenging context, the developed system has an average positioning accuracy of roughly 0.4m^2 of Mean Square Error (MSE).It performs better than the majority of indoor positioning devices on the market with less effort, less money, and higher efficiency.