GPS signals are susceptible to interference levels above the inherent processing gain of the receiver. In this paper an innovative approach to cancel narrowband interference is presented. An Adaptive Temporal Filter (ATF) based on a Transversal form that pre-filters the interference before correlation is studied. The adaptive algorithm used to adjust the filter coefficients is the RLS algorithm...

The numerical property of an adaptive filter algorithm is the most important problem in practical applications. Most fast adaptive filter algorithms have the numerical instability problem and the fast Newton transversal filter (FNTF) algorithms are no exception. In this paper, we propose a numerically stable fast Newton type adaptive filter algorithm. Two problems are dealt with in the paper. F...

An adaptive filter is defined as a digital filter that has the capability of self adjusting its transfer function under the control of some optimizing algorithms. Most common optimizing algorithms are Least Mean Square (LMS) and Recursive Least Square (RLS). Although RLS algorithm perform superior to LMS algorithm, it has very high computational complexity so not useful in most of the practical...

This paper investigates the nonlinear effects of the LeastMean Square (LMS) adaptive predictor. Traditional analysis of the adaptive filter ignores the statistical dependence among successive tap-input vectors and bounds the performance of the adaptive filter by that of the finite-length Wiener filter. It is shown that the nonlinear effects make it possible for an adaptive transversal predictio...

In order to achieve fast convergence and less computation for adaptive filters, a joint method combining a whitening process and the NLMS algorithm is a hopeful approach. One of them is to combine a lattice predictor and a transversal filter supervised by the NLMS algorithm. However, the filter coefficient adaptation is very sensitive to the reflection coefficient fluctuation. In this paper, th...

We propose a monolithic large-aperture narrowband optical filter based on a moiré volume Bragg grating formed by two sequentially recorded gratings with slightly different resonant wavelengths. Such recording creates a spatial modulation of refractive index with a slowly varying sinusoidal envelope. By cutting a specimen at a small angle, to a thickness of one-period of this envelope, the longi...

The design of optimum systems, in the classical sense, requires a priori some knowledge of the signals to be encountered. As a result, such systems perform poorly when the appropriate characteristics of the input signals are not known a priori sufficiently well or are timevarying. An adaptive processor has the ability to selfoptimize by continually monitoring its performance and updating its pa...

In a multiple target environment a radar signal processor often uses weighting filters which are not necessarily matched to the transmitted waveform. In this paper expressions for the mean-square range-estimation error, the detection signal-to-noise (SNR) and the effects of sidelobes are derived in terms of the impulse response of an arbitrary mismatched filter. It is desired to find that impul...

A new LMS algorithm is introduced for improved performance when a sinusoidal input signal is corrupted by correlated noise. The algorithm is based on shaping the frequency response of the transversal filter. This shaping is performed on-line by the inclusion of an additional term similar to the leakage factor in the adaptation equation of leaky LMS. This new term, which involves the multiplicat...