This paper describes a Kalman filter for the real-time estimation of a rigid body orientation from measurements of acceleration, angular velocity and magnetic field strength. A quaternion representation of the orientation is computationally effective and avoids problems with singularities. The nonlinear relationship between estimated orientation and expected measurement prevent the usage of a c...

Real-time digital radiography is an important developmental tendency for radiographic inspection and diagnosis technique, and enhancement of image is the key to improve resolution and sensitivity of radiographic inspection. In this paper, the algorithm and character of Rank-Order filter is discussed with great emphasis. Rank-Order filter is one of nonlinear filter, All the methods are used to p...

An active filter with a 50 Ω buffer suitable as an anti-alias filter to drive a highly linear ADC is implemented in 0.13 μm SiGe BiCMOS. This 6th-order Chebyshev filter has a 3 dB cutoff frequency of 28.3 MHz and achieves 36.5 dBm OIP3. Nonlinear digital equalization further improves OIP3 to 43.6 dBm. Measurements show 92 dB of rejection at the stopband and a gain of 49 dB. The measured in-band...

The harmonic in distribution systems becomes an important problem due to an increase in nonlinear loads. This paper presents a new approach based on a graph algorithm for optimum placement of passive harmonic filters in a multi-bus system, which suffers from harmonic current sources. The objective of this paper is to minimize the network loss, the cost of the filter and the total harmonic disto...

The particle filter (PF) is a novel technique that has sufficiently good estimation results for the nonlinear/non-Gaussian systems. However, PF is inconsistent that caused mainly by loss of particle diversity in resampling step and unknown a priori knowledge of the noise statistics. This paper introduces a new modified particle filter called adaptive unscented particle filter (AUPF) to overcome th...

against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (ins/radar). this filter involves the concept of residual-based adaptive estimation and adaptive fading kalman filter and tunes dynamically the fil...

In this paper, the nonlinear lattice-Hammerstein filter and its properties are derived. It is shown that the error signals are orthogonal to the input signal and also backward errors of different stages are orthogonal to each other. Numerical results confirm all the theoretical properties of the lattice-Hammerstein structure.

A. NONLINEAR MAP INTERVAL ESTIMATION We shall consider two problems related to the equations specifying the nonlinear interval estimator. In the first part, we shall discuss a method for solving these equations which involves the optimum nonlinear realizable filter. In the second part, we shall present a technique for determining the optimum nonlinear realizable filter from the equations specif...

The minimum average correlation energy (MACE) filter, which is linear and shift invariant, has been used extensively in the area of automatic target detection and recognition (ATD/R). We present a nonlinear extension of the MACE filter, based on a statistical formulation of the optimization criterion, of which the linear MACE filter is a special case. A method by which nonlinear topologies can ...