New channel estimation technique is proposed for multiband orthogonal frequecny division multiplexing (MB-OFDM) ultra wideband (UWB) systems in multipath time varying wireless channels. Two-stages approch has been used to achieve this purpose. In first stage, Winner-Hopf filtration has been employed for the interpolation of unknown channel state information (CSI) using comb-type known pilots. I...

In the parallel signal processing, the multi-user detection precision of parallel interference cancellation (PIC) detector is always easily affected by the decision error diffusion. Based on the fast convergence and low complexity of blind adaptive Kalman algorithm, a new blind adaptive Kalman-PIC (KPIC) multi-user detection (MUD) algorithm is proposed for the direct sequence spread spectrum co...

a r t i c l e i n f o a b s t r a c t Keywords: Earth-centered earth-fixed (ECEF) coordinate system Converted measurement Kalman filter (CMKF) Posterior Cramer–Rao lower bound (PCRLB) Sequential filter Doppler Correlation coefficient For an airborne Doppler radar, the carrying platform is moving and has time-varying attitudes. The filtering algorithms applicable to local coordinate system are n...

–A novel method for generating the state space evolution of a nonlinear system from the output time series using the Recurrent Neural Network (RNN) model, trained with improved nonlinear Kalman filter is proposed in this paper. The identification of nonlinear and chaotic systems from the output time series is an important and challenging problem. Nonlinear identification using neural network mo...

A new filter named the maximum likelihood-based iterated divided difference filter (MLIDDF) is developed to improve the low state estimation accuracy of nonlinear state estimation due to large initial estimation errors and nonlinearity of measurement equations. The MLIDDF algorithm is derivative-free and implemented only by calculating the functional evaluations. The MLIDDF algorithm involves t...

In networked control systems, time delay and data dropout can degrade the performance of the control system and even destabilize the system. In the present paper, the Extended Kalman filter is employed to compensate the effects of time delay and data dropout in feedforward and feedback paths of networked control systems. In the proposed method, the extended Kalman filter is used as an observer ...

State estimator merupakan sebuah teknik yang digunakan untuk mengestimasi besarnya suatu sinyal dari data telah tercampur dengan noise. Noise tersebut dapat terjadi pada proses di dalam plant (motor DC) maupun pembacaan oleh sensor, menyebabkan nilai sesungguhnya tidak diketahui akurat. Sinyal noise direduksi berbagai cara, antaranya adalah menggunakan Kalman Filter. Filter state filter linier ...

The launch and impact points of a flight trajectory are estimated using U-D Kalman filter and Rauch-Tung-Striebel (R-T-S) smoother. Algorithms are implemented in PC MATLAB and validated using simulated data. The filter performance is evaluated in terms of state error, innovation sequence, and autocorrelation of residuals along with their theoretical bounds. The R-T-S smoother was found to gener...

In this paper, we describe a Kalman filter based technique for multiuser detection of asynchronous CDMA systems. Similar to previously proposed techniques, we use a decoupled form of the Kalman filter which processes each user independently. We then make the further simplifying assumption that the channel statistics are constant over a single symbol allowing us to reduce the kalman gain to a co...