Navigation plays a vital role in our daily life. As traditional and commonly used navigation technologies, Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS) can provide accurate location i...
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Navigation plays a vital role in our daily life. As traditional and commonly used navigation technologies, Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS) can provide accurate location information, but suffer from the accumulative error of inertial sensors and cannot be used in a satellite denied environment. The remarkable navigation ability of animals shows that the pattern of the polarization sky can be used for navigation. A bio-inspired POLarization Navigation Sensor (POLNS) is constructed to detect the polarization of skylight. Contrary to the previous approach, we utilize all the outputs of POLNS to compute input polarization angle, based on Least Squares, which provides optimal angle estimation. In addition, a new sensor calibration algorithm is presented, in which the installation angle errors and sensor biases are taken into consideration. Derivation and implementation of our calibration algorithm are discussed in detail. To evaluate the performance of our algorithms, simulation and real data test are done to compare our algorithms with several exiting algorithms. Comparison results indicate that our algorithms are superior to the others and are more feasible and effective in practice.
In this paper, we consider the errors appearing in angle computations with the CORDIC algorithm (circular and hyperbolic coordinate systems) using fixed-point arithmetic. We include errors arising not only from the fi...
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In this paper, we consider the errors appearing in angle computations with the CORDIC algorithm (circular and hyperbolic coordinate systems) using fixed-point arithmetic. We include errors arising not only from the finite number of iterations and the finite width of the data path, but also from the finite number of bits of the input. We show that this last contribution is significant when both operands are small and that the error is acceptable only if an input normalization stage is included, making unsatisfactory other previous proposals to reduce the error. We propose a method based on the prescaling of the input operands and a modified CORDIC recurrence and show that it is a suitable alternative to the input normalization with a smaller hardware cost. This solution can also be used in pipelined architectures with redundant carry-save arithmetic.
In this paper, a signal transmission model through wireless sensor network (WSN) is presented. Further transmission from the WSN is considered, and an efficient and effective blind equalization scheme from the receive...
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ISBN:
(纸本)9781728151021
In this paper, a signal transmission model through wireless sensor network (WSN) is presented. Further transmission from the WSN is considered, and an efficient and effective blind equalization scheme from the receiver site is discussed. Utilizing angle computation of the incident signal at the receiver, a new measurement, angle and normalized error, is derived, which is implemented adaptively to find the best channel path for the blind equalizer to be followed. Computer simulations show as example of estimation of the transmitted signal where the proposed equalizer provides a significant improvement relative to the conventional blind equalizers.
In general, people use measurement devices which have analog gauge such as speedometer, barometer, and etc. to measure various values. However, analog gauges can cause problems with accuracy and reliability, since peo...
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ISBN:
(纸本)9781728151861
In general, people use measurement devices which have analog gauge such as speedometer, barometer, and etc. to measure various values. However, analog gauges can cause problems with accuracy and reliability, since people measure the values directly through the needle of gauge. To solve these problems, we propose an ADC system to improve measurement accuracy and reliability more than analog devices. The system can extract measured value through image processing using OpenCV libraries. And, we increased user access to the implanting system in a portable device.
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