Differential interferometric synthetic aperture radar has been shown to be effective for monitoring subsidence in coal mining areas. Phase unwrapping can have a dramatic influence on the monitoring result. In this paper, a filtering-based phase unwrapping algorithm in combination with path-following is introduced to unwrap differential interferograms with high noise in mining areas. It can perf...

In this research we present a Kalman filtering-based motion state estimation method for an autonomous vehicle-trailer system by fusing multiple sensor data, which can be applied directly to autonomous navigation and motion control. The autonomous vehicle-trailer system consists of an autonomous vehicle and a passive trailer which are coupled by a trailer hitch. Our vehicle-trailer system is equ...

Some issues in markerless tracking of human body motion are addressed. Extended Kalman filters have commonly been applied to kinematic variables, to combine predictions consistent with plausible motion, with the incoming stream of visual measurements. Kalman filtering is applicable only when the underlying distribution is approximately Gaussian. Often, this assumption proves remarkably robust. ...

One of the disadvantages of passive-BD navigation system is that the pseudo-range error from its receiver is significant and difficult to be modeled. Therefore, passive-BD/SINS integrated navigation system using traditional indirect Kalman filtering method can not achieve high positioning accuracy and costs too much calculating time. This study optimizes the filtering algorithm for integrated s...

using the quarterly data of 1990:1 to 2008:1 and in a general equilibrium approach, we investigate the long run equilibrium path of the equilibrium interest rate as well as the potential output. we implement a structural reduced form of a general equilibrium model consistent with iran’s economy and estimate the unobservable variables by employing the kalman filtering technique. a exponential ut...

In this paper we present a direct Kalman filtering approach for GPS/INS integration. In the approach, GPS and INS non–linearities are preprocessed prior to a Kalman filter. The GPS preprocessed data are taken as measurement input, while the INS preprocessed data are taken as an additional information to the Kalman filter’s state prediction. The advantage of this approach is that a simple and li...

ADAPTIVE NONLINEAR IMAGE RESTORATION BV A MODIFIED KALMAN FILTERING APPROACH

w x C y a x f x , 1 ABSTRACT In this paper, we consider chaotic communication schemes using nonlinear filtering techniques. Two different previously proposed Extended Kalman Filter based chaotic schemes are revisited and implemented using the Unscented Kalman Filter. Also, a recently proposed antipodal chaotic communication scheme is implemented with both the Extended Kalman Filter and the Unsc...

In this paper, we consider chaotic communication using nonlinear filtering techniques. The main contribution of the paper is proposing a novel antipodal chaotic communication scheme, which is implemented with both the Extended Kalman Filter and the Unscented Kalman Filter. Two different previously proposed Extended Kalman Filter based chaotic schemes are also revisited and implemented using the...