Constrained least square algorithm based emitter localization under NLOS condition

The emitter localization is a significant problem in many fields such as target tracking, wireless communication, radar and many types of mobile application. Range difference of arrival (RDOA) is recently used as a location determination method which utilizes range difference of signal arrival between each receiver. In RDOA localization, there are two kinds of factors which decrease the accuracy of estimation: the nonline-of-sight (NLOS) noise and measurement one. In this paper, we apply Kalman filter and constrained least square (CLS) algorithm for compensating these noises. With the proposed two algorithms, we can confirm high accuracy for localization. A simulation demonstrates the performance of our proposed algorithm.