Optimum Signal and Filter Design in Underwater Acoustic Echo Ranging Systems

Optimization of the filter, the signal, and the signal and filter jointly are studied in the sonar environment under noise and reverberation limited conditions. The maximization of the receiver output signal-to-interference ratio is used as a performance criterion with unit energy constraint on both signal and filter. In the filter design problem, the optimum filter function is the solution of a linear integral equation. The kernel of the integral equation is a function of the target and medium scattering functions and the reverberation distribution. In the signal design problem, a similar type of integral equation is obtained as in the filter optimization problem. In the joint signal and filter design problem, it is shown that the optimum signal and filter functions are the solutions to a pair of linear integral equations with the largest (SIR)O. Several examples are investigated for different mediums and reverberation distributions with the finite matrix approximation method. An interative technique is used to compute the joint optimization of signal and filter.     

β-分布的渐近抽样法及其在计算机上的实现

迄今,在一般的随机模拟文献中,关于β分布的抽样主要讨论参数为正整数情形。本文借助于Polya罐子模型黑球比例数X_的极限分布为β—分布这一原理,提出了正有理参数β—分布的渐近抽样方法,给出了模拟算法,编制了程序。选取若干正有理数参数,在计算机上进行了随机模拟,产生了渐近于β—分布的随机数,并制成了随机数表。本文对其中一些样本应用各种统计方法进行了检验,结果表明,拟合性是非常好的。