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We present an autonomous quadrotor system that is able to perform high precision landing on small platform in both indoor and outdoor environment. Its taking off and landing processes are fully autonomous. We use vision sensor to detect the landing platform, and the vision measurement is enhanced by IMU with SRUKF based sensor fusion method. All computation are done real-time and on-board. We implement...
Power Line Communication (PLC) plays a major role in smart grid applications. However, when the frequencies of above 500 kHz are used, mutual interferences between the PLC access system and Medium Wave (MW)/Short Wave (SW) broadcast radios may occur. To cope with this issue, one of the promising solutions is cognitive PLC. In this paper, MW/SW broadcast radio frequency allocation and their usage conditions...
This paper considers the generalization ability of two regularized regression algorithms [least square regularized regression (LSRR) and support vector machine regression (SVMR)] based on non-independent and identically distributed (non-i.i.d.) samples. Different from the previously known works for non-i.i.d. samples, in this paper, we research the generalization bounds of two regularized regression...
Based on the former adaptive blade pitch control method of the Electrically Controlled Rotor in time domain, two improved control algorithms are proposed. One method is through adding a weight-constrained function for active control filter, which can prevent the divergent of control system caused by interference signal of error channel. The other method is through adding a desired signal of scaling...
The structure of block sparsity in multi-band signals is prevalent. Performance of recovery algorithms that taking advantage of the block sparsity structure is promising in the compressed sensing framework. In this paper, we propose a binary tree based recovery algorithm for block-sparse signals, where we exploit the fact that each block may have zero and nonzero elements both. The proposed algorithm...
Both ANFIS (Adaptive Neuro-fuzzy Inference System)and WT(Wavelet Transform) are widely used in the field of signal processing. ANFIS has the adaptive neuro-fuzzy inference ability. WT has the satisfying characteristics of time-frequency localization and multi-resolving power. The differences were studied and compared when they were applied in filtering. In the example, the filtered signal using WT...
The telegraph training device connect to PC with USB interface helps the telegraph operators to exercise. The core of hardware is STC89C52; After being shaped by pretreatment circuit, the key signal is identified to morse code by adaptive algorithm, and then sent back to the computer. Additional noise superimposed with keying sound is to adjust the training difficulty.
The basic principle of the strapdown inertial navigation accelerometer signal acquisition unit is proposed in this article firstly. The acquisition unit is analysed in many error characteristics, such as the bias stability and the scale factor stability. The main targets of the acquisition unit is presented, then the performance of essential components which conclude sampling resistance, operational...
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