Direction finding in the presence of an intermittent interference

We consider the problem of estimating the direction of arrival (DOA) of a source in the presence of an intermittent jammer, i.e., a jammer that corrupts the signal of interest from time to time. This situation is encountered in slow frequency-hopped spread spectrum systems with partial time or partial band jamming. It has deleterious effects on the receiver performance, at least when a single antenna is used. We consider using an array of sensors to mitigate the effects of such an interference. The influence of the latter on the signal and jammer DOA estimates is studied. A general setup is introduced, and two different models are derived, depending on whether the jammer's presence indicators are considered deterministic or random. In both cases, the Cramer-Rao bounds (CRBs) are derived, and a numerical study of the CRB provides insights into the influence of the jammer's parameters. Additionally, it is shown that conventional methods such as ESPRIT can provide fairly accurate DOA estimates for this type of interference.

[1]  Petre Stoica,et al.  MUSIC, maximum likelihood, and Cramer-Rao bound , 1989, IEEE Transactions on Acoustics, Speech, and Signal Processing.

[2]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[3]  Stephen P. Boyd,et al.  Integer parameter estimation in linear models with applications to GPS , 1998, IEEE Trans. Signal Process..

[4]  K. Bakhru,et al.  An anticipative adaptive array for frequency-hopping communications , 1988 .

[5]  Kwok Hung Li,et al.  Performance analysis of an FFT-based FFH/BFSK product-combining receiver with partial-band jamming , 1999 .

[6]  John G. Proakis,et al.  Digital Communications , 1983 .

[7]  R. W. Miller,et al.  A modified Cramér-Rao bound and its applications (Corresp.) , 1978, IEEE Trans. Inf. Theory.

[8]  Levent Acar,et al.  The Performance of an LMS Adaptive Array with Frequency Hopped Signals , 1985, IEEE Transactions on Aerospace and Electronic Systems.

[9]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[10]  Kwok Hung Li,et al.  Partial-band jammer suppression in FFH spread-spectrum system using FFT , 1999 .

[11]  Brian M. Sadler,et al.  Bounds on bearing and symbol estimation with side information , 2001, IEEE Trans. Signal Process..

[12]  F. Eken Use of antenna nulling with frequency-hopping against the follower jammer , 1991 .

[13]  Joseph R. Guerci,et al.  Optimal and adaptive reduced-rank STAP , 2000, IEEE Trans. Aerosp. Electron. Syst..

[14]  L. Godara Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations , 1997, Proc. IEEE.

[15]  B. C. Ng,et al.  On the Cramer-Rao bound under parametric constraints , 1998, IEEE Signal Processing Letters.

[16]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[17]  A. Krieger An Adaptive Algorithm for Interference Suppression in Spread Spectrum Communications Systems , 1990, 1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990..

[18]  Fulvio Gini,et al.  On the use of Cramer-Rao-like bounds in the presence of random nuisance parameters , 2000, IEEE Trans. Commun..

[19]  Roger L. Peterson,et al.  Introduction to Spread Spectrum Communications , 1995 .

[20]  Fulvio Gini,et al.  A radar application of a modified Cramer-Rao bound: parameter estimation in non-Gaussian clutter , 1998, IEEE Trans. Signal Process..

[21]  J. S. Goldstein,et al.  Theory of partially adaptive radar , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[22]  Petre Stoica,et al.  Performance study of conditional and unconditional direction-of-arrival estimation , 1990, IEEE Trans. Acoust. Speech Signal Process..