A New PRI Transform for the Deinterleaving of Radar Pulses

Article Preview

Abstract:

This paper presents a new algorithm for the deinterleaving of radar signals, using the direction of arrival (DOA), carrier frequency (RF), and time of arrival (TOA). The algorithm is mainly applied to pulse repetition interval (PRI) signals. This algorithm consists of two steps: In the first step, a PRI transformation is used to the received pulses after pre-deinterleaved of frequency and DOA. In this step, radar signals having the same frequency and DOA are identified as the same class. In the second step, the number of existing emitters and their PRIs is determined by using TOA information. The algorithm for deinterleaving uses the information obtained from the previous analysis to reduce the PRI errors. The simulation results show that the algorithm is successful in high pulse density environments and for the complex signal types.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

528-531

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yujun KUANG, Qingbo SHI, Qianbin CHEN etc.. A Simple Way to Deinterleave Repetitive Pulse Sequences [J]. 7th WSEAS Int. Conf. on Mathematical Methods and Computational Techniques in Electrical Engineering, 2010, Vol. 27-29: 218-222.

Google Scholar

[2] Ching-Sung Shieh and Chin-Teng Lin. A Vector Neural Network for Emitter Identification [J] IEEE Transations on Antennas and Propagation, 2002, Vol. 50(8): 1120-1127.

DOI: 10.1109/tap.2002.801387

Google Scholar

[3] Ken'ichi Nishiguchi. Time-period Analysis for Pulse Train Deinterleaving[J]. Trans. of the Society of Instrument and Control Engineers, 2005, Vol. E-4(1): 68-78.

Google Scholar

[4] Eugin Hyun, and Jong-Hun Lee. Method to Improve Range and Velocity Error Using De-interleaving and Frequency Interpolation for Automotive FMCW Radars[J]. International Journal of Signal Processing, Image Processing and Pattern Recognition, 2009, Vol. 2(2): 11-21.

Google Scholar

[5] Tanya Conroy and John B. Moore. The Limits of Extended Kalman Filtering for Pulse Train Deinterleaving[J]. IEEE Transactions on Signal Processing, 1998, Vol. 46(12): 3326-3332.

DOI: 10.1109/78.735307

Google Scholar

[6] Yan Mao, Jun Han, Guohua Guo. An Improved Algorithm of PRI Transform[J]. Global Congress on Intelligent Systems, 2009, 145-149.

DOI: 10.1109/gcis.2009.313

Google Scholar