This edited book is devoted to a detailed mathematical treatement of some important issues in adaptive radar detection and estimation. The need for the use of adaptive processing in a radar environment arises because of the inherently nonstationary nature of the environment. The subject matter of the book includes the development of model-based techniques for the detection of radar targets in the presence of clutter; the basic issues involved in adaptive radar detection using an array of sensors; minimum variance beamforming techniques with emphasis on partial adaptivity and design procedures; maximum likelihood bearing estimation in beamspace for an adaptive phased array radar; angle-of-arrival estimation (direction finding) based on maximum a posteriori probability considerations; and the method of multiple windows for spectrum estimation and direction finding in a low-angle tracking radar environment. -from Editors