Kishk Sherif, Javidi Bahram
University of Connecticut, Department of Electrical and Computer Engineering, Storrs 06229, USA.
Appl Opt. 2002 Apr 10;41(11):2149-57. doi: 10.1364/ao.41.002149.
A multiple-hypothesis method is used to detect a target or a reference signal in the presence of additive noise with unknown statistics. The receiver is designed to detect the target and to be tolerant of the variations in rotation and illumination of the target. A multiple-hypothesis test with unknown-noise parameters is used to locate the target position. The proposed method does not use any specific distortion-invariant-filtering technique, but it relies on a multiple-hypothesis approach. Maximum-likelihood estimates of the illumination constant and the unknown noise parameters are obtained. Computer simulations are presented to evaluate the performance of the receiver for various distorted noisy true-class targets with varying illumination and false-class objects.
一种多假设方法用于在存在统计特性未知的加性噪声的情况下检测目标或参考信号。该接收器旨在检测目标并容忍目标旋转和光照的变化。使用具有未知噪声参数的多假设检验来定位目标位置。所提出的方法不使用任何特定的失真不变滤波技术，而是依赖于多假设方法。获得了光照常数和未知噪声参数的最大似然估计。给出了计算机模拟，以评估接收器对于各种具有不同光照的失真噪声真实类别目标和虚假类别物体的性能。
