A High-Performance Signal Processing System for Monopulse Tracking Radar

Article Preview

Abstract:

A radar signal processing system characterizing high instantaneous dynamic range and low system latency is designed based on a specifically developed signal processing platform. Instantaneous dynamic range loss is a critical problem when digital signal processing is performed on fixed-point FPGAs. In this paper, the problem is well resolved by increasing the wordlength according to signal-to-noise ratio (SNR) gain of the algorithms through the data path. The distinctive software structure featuring parallel pipelined processing and “data flow drive” reduces the system latency to one coherent processing interval (CPI), which significantly improves the maximum tracking angular velocity of the monopulse tracking radar. Additionally, some important electronic counter-countermeasures (ECCM) are incorporated into this signal processing system.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

471-475

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Xiaohui Qi, Tao Jin, Ming Jin, and Xiaolin Qiao, Coherent dual point sources deceive semiactive monopulse radar seeker technology, Proceedings of 2006 CIE International Conference on Radar, vol. 1, Oct. 2006, pp.467-470.

DOI: 10.1109/icr.2006.343229

Google Scholar

[2] Bassem R. Mahafza, and Atef Z. Elsherbeni, Matlab Simulations for Radar Systems Design. Chapman and Hall/CRC, (2004).

Google Scholar

[3] S. N. Reddy, N. C. E. Reddy, and K. K. Reddy, Performance evaluation and error analysis of monopulse radar comparator, IEEE Instrumentation and Measurement Technology Conference, vol. 2, Jun. 1996, pp.1382-1384, doi: 10. 1109/IMTC. 1996. 507598.

DOI: 10.1109/imtc.1996.507598

Google Scholar

[4] Xin Zhang, Peter Willett, and Yaakov Bar-Shalom, Detection and localization of multiple unresolved extended objects via monopulse radar signal processing, Proc. SPIE, vol. 5913, Aug. 2005, p.591305, doi: 10. 1117/12. 613122.

DOI: 10.1117/12.613122

Google Scholar

[5] Sen M. Kuo, and Bob H. Lee, Real-Time Digital Signal Processing: Implementations, Applications and Experiments with the TMS320C55X. Beijing, China: Tsinghua University Press, (2003).

DOI: 10.1002/0470845341

Google Scholar

[6] Texas Instruments, TMS320C645x DSP Enhanced DMA (EDMA3) Controller User's Guide: SPRU966B, http: /www. ti. com, Jan. (2007).

Google Scholar

[7] Chao Wang, Feng Su, and Yunpeng Han, Design and Implementation of a Phase-coded quasi-CW Radar Signal Processor, Applied Mechanics and Materials, vols. 20-23, 2010, pp.785-790, doi: 10. 4028/AMM. 20-23. 785.

DOI: 10.4028/www.scientific.net/amm.20-23.785

Google Scholar

[8] Wu Ronggang, Gao Meiguo, and Yuan Haojuan, Implementation of a signal processing system for ground surveillance radar, IET International Radar Conference 2009, Apr. 2009, p.237, doi: 10. 1049/cp. 2009. 0210.

DOI: 10.1049/cp.2009.0210

Google Scholar