In this paper the problem of estimation of a single parameter from a linear regression equation in the absence of sufficient excitation in the regressor is addressed. A novel procedure to generate a new exciting regressor is proposed. The superior performance of a classical gradient estimator using this new regressor, instead of the original one, is illustrated with comprehensive simulations.

翻译：在本文中,在递减器没有足够刺激的情况下,从线性回归方程估算单一参数的问题得到了解决。提出了产生一个新的令人兴奋的递减器的新程序。使用这个新的递减器而不是原来的递减器的古典梯度估计器的优异性能用全面模拟来说明。