A Singular Value Decomposition-Based Method for Solving a Deterministic Adaptive Problem
نویسندگان
چکیده
A computational scheme based on the singular value ecomposition (SVD) for a deterministic, data domain pproach to the adaptive processing problem is presented. n the direct data domain approach, a single snapshot is onsidered for an assumed direction of arrival with unnown amplitude. This unknown signal strength is estiated on a snapshot by snapshot basis. The new SVD ased method is compared with the QZ method for deterining the generalized eigenvalues of a system. Their erformance in estimating the strength of signals of interest n the presence of main beam jammers, clutter, and hermal noise is considered. Limited examples have been resented to illustrate the two methods. r 1999 Academic Press
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ورودعنوان ژورنال:
- Digital Signal Processing
دوره 9 شماره
صفحات -
تاریخ انتشار 1999