在過去幾年不論是戶外的手機或是最新提出的短距離超寬頻系統，無線定位服務都成為一個很熱門的問題；在我們的無線通訊系統裏，甚多研究提供以訊號抵達的場強(SS)、訊號抵達的時間(TOA)以及訊號抵達的角度(AOA)在無線系統中作定位的技術。 在定位系統當中，主要的技術挑戰是當訊號為非直接傳播的效應，在本文針對非視線傳播效應(NLOS)問題進行研究。我們提出一個抑制NLOS所造成行動台(MS)估計誤差的演算法則，應用混合AOA與TOA的定位技術及多基地台的定位資訊篩選。電腦模擬結果顯示我們提出的演算法不論是對室內或是戶外的定位架構底下都能夠有效抑制NLOS效應對定位產生的影響。 The mobile positioning service has become a hot issue over the past few years in wireless communication. The Signal strength (SS), the Angle of Arrival (AOA) and Time of Arrival (TOA) techniques have been proposed for providing location services in wireless mobile position systems. In this paper we present a method for the enhanced accuracy of mobile location. This method is to mix and combine AOA and TOA in wireless mobile position system and to pick out mobile locations to enhance the accuracy of location estimation. Numerical results demonstrate that the proposed location scheme gives much higher location accuracy than the method that only uses TOA or AOA location technique. The major technical challenge is Non-Line-of-Sight (NLOS) problems in the wireless mobile position system. In this thesis, we focus on the NLOS mitigation issue. NLOS mitigation algorithms are proposed to combat such NLOS errors based on TOA and AOA position techniques. Finally, the performance of the proposed algorithm is evaluated by computer simulations. Simulation results show that the proposed schemes are effective in decreasing NLOS errors.