Based on the problem that the observation matrix in the traditional target positioning algorithm in wireless sensor networks, does not satisfy Restricted Isometry Property, a sparse target positioning algorithm based on LU decomposition is proposed. The algorithm applies the principle of compressed sensing to the grid target positioning problem based on the Received Signal Strength Indication. The LU decomposition method is used to decompose the observation matrix, which not only satisfies Restricted Isometry Property, but also reduces the impact on the original signal sparsity. After the experiment of the UAV positioning system, it is proved that the positioning performance of the target positioning algorithm based on LU decomposition is superior to that of the sparse node positioning algorithm based on Orth preprocessing.
KEYWORDS: Signal attenuation, Satellite communications, Satellites, Telecommunications, Signal processing, Systems modeling, Computer simulations, Antennas, Meteorology, Ka band
At present, the satellite signal resource allocation strategy does not consider the coupling relationship between power and bandwidth. At the same time, due to the use of multi-beam antenna and frequency reuse techniques in satellite communication systems, the co-channel interference of inter-beam signals is a factor that should be considered. And Satellite systems have to deal with many real-time signal transmissions, and the limitation of transmission requirements on delay is also a consideration. Considering these factors and different signal transmission conditions between beams, a new satellite signal resource allocation algorithm is proposed by reconstructing the satellite system model. The simulation results show that the new algorithm improves the system capacity and reduces the second-order service rejection of the system while comparing with the previous resource allocation algorithm.
In high dynamic environments, signals in low earth orbit (LEO) satellites and terrestrial communications have large Doppler shifts. Traditional carrier tracking loops based on multi-stage frequency-locked loops and phase-locked loops perform poorly. In recent years, particle tracking based carrier tracking loops have been brought into consideration. In this paper, the standard particle filter (PF) and unscented particle filter (UPF) are analyzed in principle, and based on this, an improved unscented particle filter algorithm is derived, and the carriers based on these three algorithms are derived. The tracking loop is simulated by MATLAB. The new algorithm reduces the complexity of the UPF algorithm under the premise of ensuring accuracy.
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