Adaptive detection for unknown noise power spectral densities

被引：13

作者：

Kay, S ^{[1
]}

机构：

[1] Univ Rhode Isl, Dept Elect & Comp Engn, Kingston, RI 02881 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1999年 / 47卷 / 01期

关键词：

Manuscript received March 7; 1997; revised June 19; 1998. This work was supported by the Naval Undersea Warfare Center under Contract N66604-94-C-B618. The associate editor coordinating the review of this paper and approving it for publication was Dr. Jean Jacques Fuchs;

D O I：

10.1109/78.738235

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The detection of a known broadband signal in colored noise of unknown power spectral density is addressed. Motivated by the consistency of the integrated periodogram, a new detector is proposed. Its asymptotic performance is proven to he only slightly poorer than the optimal hut unrealizable Neyman-Pearson detector. It also possesses the CFAR property asymptotically and should therefore be quite valuable in practice. For finite data records, it is shown by computer simulation to significantly outperform the conventional matched filter (without prewhitening) under realistic conditions encountered in practice.

引用

页码：10 / 21

页数：12

共 13 条

[1]

ANDERSON TW, 1971, STAT ANAL STATIONARY

[2]

[Anonymous], 1989, Deterministic Chaos

[3]

[Anonymous], MEASURE THEORY PROBA

[4]

[Anonymous], 1998, FUNDEMENTALS STAT SI

[5]

Brockwell P.J., 1991, TIME SERIES THEORY M

[6]

DOOB C, 1953, STOCHASTIC PROCESSES

[7]

Fuller W. A., 2009, Introduction to statistical time series

[8]

GRAY RM, 1971, 65021 STANF U INF SY

[9]

Johnson NL., 1995, Continuous univariate distributions

[10] ASYMPTOTICALLY OPTIMAL DETECTION IN UNKNOWN COLORED NOISE VIA AUTOREGRESSIVE MODELING [J].

KAY, SM .

IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1983, 31 (04) :927-940

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