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Statistics of adaptive nulling and modeling inhomogeneities in adaptive processing

Publication ,  Conference
Richmond, CD
Published in: IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
December 1, 1998

Recently a generalized eigen-relation (GER) constraint was employed to model inhomogeneities in an adaptive processing context. This constraint facilitated closed-form analysis of classical adaptive detectors under a nonhomogeneous data assumption. In this paper we reexamine the implications of this GER constraint on the statistics of adaptive nulling. We find that although the GER was originally imposed for analytic tractability it in fact preserves the essential statistical nature of an adaptive null, allowing one to model inhomogeneities in adaptive processing.

Duke Scholars

Published In

IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP

Publication Date

December 1, 1998

Start / End Page

65 / 68
 

Citation

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Richmond, C. D. (1998). Statistics of adaptive nulling and modeling inhomogeneities in adaptive processing. In IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP (pp. 65–68).
Richmond, C. D. “Statistics of adaptive nulling and modeling inhomogeneities in adaptive processing.” In IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP, 65–68, 1998.
Richmond CD. Statistics of adaptive nulling and modeling inhomogeneities in adaptive processing. In: IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP. 1998. p. 65–8.
Richmond, C. D. “Statistics of adaptive nulling and modeling inhomogeneities in adaptive processing.” IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP, 1998, pp. 65–68.
Richmond CD. Statistics of adaptive nulling and modeling inhomogeneities in adaptive processing. IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP. 1998. p. 65–68.

Published In

IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP

Publication Date

December 1, 1998

Start / End Page

65 / 68