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In this paper, a low-complexity robust adaptive beamforming method is proposed to against array steering vector (ASV) mismatch and effects of low snapshots. The robustness of proposed method depends on two aspects: the non-uniform diagonal loading which prevent the beamformer weight vector from converging to the noise components and variable diagonal loading factor can be changed adaptively when the...
The robustness of adaptive beamforming is relate to the input signal-to-noise ratio (SNR). In order to further improve the performance of input SNR estimation, a modified method of input SNR estimation for robust adaptive beamforming is proposed. Comparatively accurate value of the input SNR can be obtained by the proposed method, especially when the input SNR exceeds 0 dB. When the proposed method...
Precise motion control is desired in a variety of industrial robot applications. In order to achieve precise and rapid rest-to-rest motion, the overshoot and the residual vibration should be minimized. In this paper, a modified input shaping approach is developed to address these problems. The time delay introduced by conventional input shaping technique is fully compensated in the proposed approach...
The complex interactions between multistage manufacturing processes and different processing technologies is difficult to express with unified mathematical expression. In this paper, the reliability robust design model was studied based on directed topological graph. This model takes the quality characteristic variation loss in the manufacturing process as the objective function, with process sequence...
This paper considers the distributed robust consensus problem of multi-agent systems with Lipschitz nonlinear dynamics and subject to different matching uncertainties. Due to the existence of nonidentical uncertainties, the multi-agent systems discussed in this paper are essentially heterogeneous. For the case where the communication graph is undirected and connected, based on the local state information...
Radio Signal Strength (RSS) based ranging is attractive by the low cost and easy deployment. In real environments, its accuracy is severely affected by the multipath effect and the external radio interference. The well-known fingerprint approaches can deal with the issues but introduce too much overhead in dynamic environments. In this paper, we attempt to address the issue along a completely different...
A novel algorithm is presented for detecting a target placed in background and degraded by non-uniform illumination and additive noise. The algorithm includes two steps. First, the input scene is preprocessed with estimated illumination function. Then the processed scene is correlated with a designed optimum filter based on Wiener filtering. Simulation results show effectiveness of the proposed method...
Determining fuzzy measure from data is an important topic in some practical applications. Some computing techniques are adopted, such as particle swarm optimization (PSO) and gradient descent algorithm (GD), to identify fuzzy measure. However, there exist some limitations. In this paper, we design a hybrid algorithm called GDPSO, through introducing GD to PSO for the first time. This algorithm has...
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