帶乘性噪聲模型的水聲信道與字符估計(jì)算法研究
[Abstract]:The system with multiplicative noise is a generalization of the traditional Kalman filter linear system, which can solve the problem of signal adaptive estimation in complex communication environment. Due to the existence of many random inhomogeneity in marine environment, such as random time-varying waves, spatially varying waves, random water masses with uneven heat and cold in sea water, the geomorphological and acoustic characteristics of the sea floor are also random and uneven. These inhomogeneity will affect the sound signal propagation. Therefore, it can be said that the oceanic medium as a underwater acoustic channel is a channel with high noise, strong reverberation, narrow channel band and serious interference of multipath effect, and is also a time-varying, spatially variable and frequency-varying channel. Its main characteristics are: propagation loss, multipath effect and dispersion effect. Based on the characteristics of underwater acoustic channel and the action mechanism of multiplicative noise, a stochastic time-varying underwater acoustic channel is described by using a system model with multiplicative noise. The main work of this paper is as follows: firstly, for SIMO underwater acoustic communication system, a complex multi-channel model with multiplicative noise is established. This model characterizes a more complex channel characteristic and is more general. Because of the obvious fading characteristics and random time-varying factors in underwater acoustic channel, it is reasonable to describe the underwater acoustic channel with multiplicative noise system model. On the basis of the model, the state optimal filtering algorithm and the fixed domain smoothing algorithm are presented based on the orthogonal projection theorem and the linear minimum variance criterion. Secondly, based on the SIMO system, the model is extended to the MIMO underwater acoustic communication system, the state space model of the system with multiplicative noise is established, and the state optimal filtering algorithm based on the linear minimum variance criterion is derived. Thirdly, the computer simulation of the optimal filtering algorithm for SIMO underwater acoustic communication system, the fixed-domain smoothing algorithm and the optimal filtering algorithm for MIMO system are carried out, and the validity of the method is verified. Moreover, the third party received data from multipath Rayleigh fading channel is used to simulate and compare the optimal filtering algorithm of SIMO system with the adaptive equalization algorithm in related literatures, which verifies the effectiveness of the proposed algorithm.
【學(xué)位授予單位】:中國(guó)海洋大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TB56
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