Redirigiendo al acceso original de articulo en 22 segundos...
Inicio  /  Information  /  Vol: 6 Núm: 1 Pages Par: March (2015)  /  Artículo
ARTÍCULO
TITULO

The Kalman Filtering Blind Adaptive Multi-user Detector Based on Tracking Algorithm of Signal Subspace

Liqing Zhou    
Henry Leung    
Peng Xu    
Guobao Ru    
Quansheng Zhao and Da Xu    

Resumen

-

 Artículos similares

       
 
Bokyu Kwon and Sang-il Kim    
In this paper, the recursive form of an optimal finite impulse response filter is proposed for discrete time-varying state-space models. The recursive form of the finite impulse response filter is derived by employing finite horizon Kalman filtering with... ver más
Revista: Applied Sciences

 
Maofa Wang, Chuzhen Xu, Chuanping Zhou, Youping Gong and Baochun Qiu    
In the marine environment, underwater targets are often affected by interference from other targets and environmental fluctuations, so traditional target tracking methods are difficult to use for tracking underwater targets stably and accurately. Among t... ver más
Revista: Applied Sciences

 
Junkang Wu, Zuqiong Zhang, Shenglan Zhang, Zhenwu Kuang and Lieping Zhang    
To reduce the influence of non-line-of-sight (NLOS) errors in the ultra-wideband (UWB) positioning process, a UWB positioning algorithm based on fuzzy inference and adaptive anti-NLOS Kalman filtering (KF) was proposed in this paper. First of all, the NL... ver más
Revista: Applied Sciences

 
Ranzhen Ren, Lichuan Zhang, Lu Liu, Dongwei Wu, Guang Pan, Qiaogao Huang, Yuchen Zhu, Yazhe Liu and Zixiao Zhu    
To reduce the cooperative positioning error and improve the navigation accuracy, a single master?slave AUV cooperative navigation method is proposed in this paper, which mainly focuses on planning the optimal path of the master AUV by the time difference... ver más

 
Apolo Silva Marton, José Raul Azinheira, André Ricardo Fioravanti, Ely Carneiro De Paiva, José Reginaldo H Carvalho and Ramiro Romankevicius Costa    
Good state and wind estimation is a requirement for the development of guidance and control techniques for airships. However, usually this information is not directly available from the airship sensors. The typical solution applies filtering, estimation ... ver más
Revista: Aerospace