According to the disadvantages of traditional mechanical gyro inertial measurement unit('IMU') for steering system not being available for missile attitude control, a concept based on laser gyro IMU is propose...
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According to the disadvantages of traditional mechanical gyro inertial measurement unit('IMU') for steering system not being available for missile attitude control, a concept based on laser gyro IMU is proposed to realize navigation & positioning and attitude control. The concept will save three single-axis rate gyros compared with traditional missile attitude control system, and is available both for strapdown and platform inertial navigation systems. Firstly, this article analyzes the selection requirements of sensitive device for missile attitude control system, and then analyzes the feasibility of missile attitude control based on laser gyro theoretically, on this basis, from four aspects of error characteristics, anti-vibration characteristics, temperature characteristics and dynamic characteristics, validate the feasibility of the concept practically. Secondly according to the strict requirements of dynamic characteristics on attitude control system, a special design is made for gyro signal filtering used for attitude control. By changing the traditional high order FIR filter to adaptive filter and low order FIR filter, laser gyro's signal phase delay is reduced. The delay time of theoretical design is 1.5 ms. Lastly, this design is validated through an angle vibration test, and test curve indicates that the dynamic characteristics of laser gyro completely meets the requirements of the attitude control system, and the maximum delay time is 1.6144 ms, which satisfies with the attitude update rate of 2 ms per frame. This concept can simplify the missile guidance system design, at the same time, it does not reduce missile guidance accuracy, and also provides reference for the broadening of the application of laser gyro.
The surface temperature distribution of stratified sea water is different from the surroundings disturbed by the propeller and it can express a particular infrared character. The surface temperature distribution distu...
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In order to solve the problem of broadband omnidirectional acoustic scattering computing for underwater elastic object, broadband acoustic scattering model of underwater elastic object is presented combining Finite-Di...
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Multi-sensor data fusion theory and methods have been widely applied to many fields. Multi-sensor data fusion and information redundancy technology are adopted to achieve target characters synthetically judgment.. The...
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Sonar images are susceptible to noise pollution that results in low contrast. And sonar image denoising technology is the key for subsequent target recognition. In this paper, an image denoising algorithm using wavele...
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Sonar images are susceptible to noise pollution that results in low contrast. And sonar image denoising technology is the key for subsequent target recognition. In this paper, an image denoising algorithm using wavelet transform was studied. Firstly, we constructed a morphological mean wavelet for gray image processing. Then the noisy sonar image was trained by the Hidden Markov Tree model in the morphological wavelet domain. According to the characteristics of the morphological mean wavelet, we classified multiresolution analysis of the noisy image in different directions, and removed noise according to the training result with Bayesian estimation. Finally, a desired denoising effect could be obtained by computing the average of different reconstructed images. Computer experiments show that our denoising algorithm can remove Gaussian noise of sonar image effectively. Compared with some classical wavelet denoising methods, image details are retained better.
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