This text 1s designed to introduce the fundamentals of esti- mation to
engineers, scientists, and applied mathematicians. The level of the
presentation should be accessible to senior under- graduates and should
prove especially well-suited as a self study guide for practicing
professionals. My primary motivation for writing this book 1s to make a
significant contribution toward minimizing the painful process most
newcomers must go through in digesting and applying the theory. Thus the
treatment 1s intro- ductory and essence-oriented rather than
comprehensive. While some original material 1s included, the
justification for this text lies not in the contribution of dramatic new
theoretical re- sults, but rather in the degree of success I believe
that I have achieved in providing a source from which this material may
be learned more efficiently than through study of an existing text or
the rather diffuse literature. This work is the outgrowth of the
author's mid-1960's en- counter with the subject while motivated by
practical problems aSSociated with space vehicle orbit determination and
estimation of powered rocket trajectories. The text has evolved as
lecture notes for short courses and seminars given to professionals at
Pr>efaae various private laboratories and government agencies, and
during the past six years, in conjunction with engineering courses
taught at the University of Virginia. To motivate the reader's thinking,
the structure of a typical estimation problem often assumes the
following form: - Given a dynamical system, a mathematical model is
hypothesized based upon the experience of the investigator.