TY - GEN
T1 - Adaptive notch filter and time-varying ar modeling for anti-jamming PN code radar
AU - Feng, J. N.
AU - Jiang, W.
AU - Li, J. Q.
AU - Wu, S. L.
PY - 2009
Y1 - 2009
N2 - The Direct Sequence Spread Spectrum (DSSS) technique is used in several types of radar systems, such as automotive radar, and docking and rendezvous radar. DSSS has a certain inherent immunity to jammers. However, in the case of non- stationary jammer in a DSSS signal, the spreading gain may be insufficient to provide enough jamming resistance. The non-stationary jammer can be effectively suppressed by time- varying direct notch filter with its zeros placed at an instantaneous frequency(IF) estimation of the jammer, and TVAR is used to IF estimation. In this paper, the optimal basis function of time-varying AR(TVAR) model for the instantaneous frequency(IF) estimation of the LFM signal was obtained by comparing IF estimation precise and anti- noise performance of several types of basis functions, including time basis function, Fourier basis function, and Lagrange basis function. The closed solution of correlation output SINR improvement, when a single frequency jammer passes through direct IIR notch filter, was derived, and its performance was compared with those of five coefficient FIR filters. Based on this, a novel method for LFM jammer suppression based on Fourier basis TVAR model and direct IIR notch filter was proposed. The simulation results confirmed the effectiveness of the method proposed.
AB - The Direct Sequence Spread Spectrum (DSSS) technique is used in several types of radar systems, such as automotive radar, and docking and rendezvous radar. DSSS has a certain inherent immunity to jammers. However, in the case of non- stationary jammer in a DSSS signal, the spreading gain may be insufficient to provide enough jamming resistance. The non-stationary jammer can be effectively suppressed by time- varying direct notch filter with its zeros placed at an instantaneous frequency(IF) estimation of the jammer, and TVAR is used to IF estimation. In this paper, the optimal basis function of time-varying AR(TVAR) model for the instantaneous frequency(IF) estimation of the LFM signal was obtained by comparing IF estimation precise and anti- noise performance of several types of basis functions, including time basis function, Fourier basis function, and Lagrange basis function. The closed solution of correlation output SINR improvement, when a single frequency jammer passes through direct IIR notch filter, was derived, and its performance was compared with those of five coefficient FIR filters. Based on this, a novel method for LFM jammer suppression based on Fourier basis TVAR model and direct IIR notch filter was proposed. The simulation results confirmed the effectiveness of the method proposed.
KW - Adaptive notch filter
KW - LFM jammer.
KW - PN Code Radar
KW - TVAR model
UR - http://www.scopus.com/inward/record.url?scp=70350151274&partnerID=8YFLogxK
U2 - 10.1049/cp.2009.0354
DO - 10.1049/cp.2009.0354
M3 - Conference contribution
AN - SCOPUS:70350151274
SN - 9781849190107
T3 - IET Conference Publications
BT - IET International Radar Conference 2009
T2 - IET International Radar Conference 2009
Y2 - 20 April 2009 through 22 April 2009
ER -