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The normalized least mean square (NLMS) algorithm and the frequency-domain block least mean square (FBLMS) algorithm have better cancellation performance and lower computational complexity during the clutter suppression in the bistatic noise frequency modulated continuous waveform (FMCW) radar system. However, in the real applications, in order to achieve high clutter cancellation and fast convergence...
The bio-inspired geomagnetic navigation is inspired from animals navigation behavior which dispense with the priori geomagnetic data. It can be employed by AUV for a navigation task that arrived to targeting point which is characterized with geomagnetic multi-parameter through magnetotaxis searching behavior. However, the geomagnetic anomalies area could form an extreme value region and disturb the...
This paper treats the attitude stabilization problem for satellite using only one MSGMW (Magnetically Suspended Gimbaled Momentum Wheel). To start, the coupled dynamic model of satellite and MSGMW is defined and simplified based on the fact that the attitude errors are small during the mission mode that the MSGMW services. In order to improve the dynamic performance, reduce the steady state error...
Dependence on the prior magnetic map become one of the key problems which restrict the development of the geomagnetic navigation. This paper inspired from the animal navigation behavior which dispense with the priori geomagnetic map. First, we generalize the bio-inspired navigation process as a multi-objective problems. Then, present a stress evolution search AUV navigation model for the particularity...
Classical geomagnetic navigation mainly adopts geomagnetic matching technology with a priori magnetic map. In this paper, we research the navigation problem of an autonomous underwater vehicle (AUV) without a priori magnetic map. Our inspiration is derived from animal moving behaviors to navigate without having any a priori knowledge. The problem is illustrated as the search problem of multi-parameter...
This paper presents a bio-inspired search behavior model for navigating using geomagnetic information in unknown environments. A multi-objective search navigation framework combining random walk movement model and stress evolution algorithm is applied to the navigation. Firstly, motivated by animal geomagnetic navigation behavior, we generalize the bio-inspired navigation process as the convergence...
A new super-exponential decision feedback blind equalization algorithm is proposed in this paper. In comparison with the conventional SEI-DFE equalization algorithm, the proposed algorithm presents a new fast convergence weight update error function. Therefore, phase compensation ability and steady-state Mean Square Error (MSE) performance have been increased, but they don't significantly increase...
This paper introduces a novel particle swarm optimization algorithm based on the concept of black holes in physics, called random black hole particle swarm optimization (RBH-PSO) for the first time. In each dimension of a particle, we randomly generate a black hole located nearest to the best particle of the swarm in current generation and then randomly pull particles of the swarm into the black hole...
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