A novel indoor ranging method using weighted altofrequent RSSI measurements

Abstract

The ranging method based on RSSI (Received Signal Strength Indicator) is a distance estimation method with a low cost and low complexity, which is widely used in indoor ranging. The key feature lies in how to overcome an interference of random factors to the signal and make the ranging method more accurate. We have interest in fact that the influences on RSSI measurements from indoor propagation environments can be another ranging error source. In other words, to improve ranging accuracy, influenced factors on RSSI measurements should be minimized or compensated. In this paper, we propose an altofrequent weighting method. Proposed method uses weighted RSSI measurements with occurrence rate in a reference position. Simulation results show that proposed novel approach achieves more accurate performance and no extra equipment required compared with existing method.