Narrow Band RFI Suppression via Adaptive Filtering with Clipping of Strong Scatterers

LI Yueli

doi:10.11999/JEIT151110

Volume 38 Issue 7

Jul. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(7): 1758-1764

LI Yueli. Narrow Band RFI Suppression via Adaptive Filtering with Clipping of Strong Scatterers[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1758-1764. doi: 10.11999/JEIT151110

Citation:

LI Yueli. Narrow Band RFI Suppression via Adaptive Filtering with Clipping of Strong Scatterers[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1758-1764. doi: 10.11999/JEIT151110

LI Yueli. Narrow Band RFI Suppression via Adaptive Filtering with Clipping of Strong Scatterers[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1758-1764. doi: 10.11999/JEIT151110

Citation:

LI Yueli. Narrow Band RFI Suppression via Adaptive Filtering with Clipping of Strong Scatterers[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1758-1764. doi: 10.11999/JEIT151110

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Narrow Band RFI Suppression via Adaptive Filtering with Clipping of Strong Scatterers

doi: 10.11999/JEIT151110

LI Yueli¹

Funds:

The National Natural Science Foundation of China (61302146)

Received Date: 2015-09-26
Rev Recd Date: 2016-04-22
Publish Date: 2016-07-19

Abstract

Abstract

The performance of low frequency Ultra-Wide-Band (UWB) Synthetic Aperture Radar (SAR) is seriously affected by narrow band Radio Frequency Interference (RFI) in the VHF/UHF band. RFI suppression, by placing notches over the energy spectra to remove the RFI spikes, results energy loss of the wide-band signals and raises the range direction side-lobes. This paper presents an approach to suppress the side-lobe in range direction caused by adaptive filtering. After clipping main energy of strong scatterers in range compression domain before RFI estimation, the interference signals are estimated using an Adaptive Line Enhancer (ALE) and subtracted from the radar echo. The clipping approach makes use of the different time-domain characteristics between wide-band signal and narrow band interference, and by using pulse compression technology the method can be processed efficiently. To investigate the performance of RFI suppression, clipping of strong scatterers is combined to the ALE based on Normalized Least Mean Square (NLMS) algorithm. Simulation results and experimental data test compared with the conventional algorithms suggest that side-lobes of the strong scatters can be reduced effectively in RFI suppression.
- Radar,
- Adaptive filter,
- Radio Frequency Interference (RFI) suppression,
- Normalized Least Mean Square (NLMS) algorithm,
- Side-lobe reduction

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References(19)

References

MILLER T, POTTER L, and MCCKRKLE J. RFI suppression for ultra wideband radar[J]. IEEE Transactions on Aerospace Electronic Systems, 1997, 33(4): 1142-1156. doi: 10.1109/7.625096.

董臻, 梁甸农, 黄晓涛. VHF/UHF UWB SAR基于通道均衡的RFI抑制方法[J]. 电子与信息学报, 2008, 30(3): 550-553.

DONG Zhen, LIANG Diannong, and HUANG Xiaotao. A RFI suppression algorithm based on channel equalization for the VHF/UHF UWB SAR[J]. Journal of Electronics Information Technology, 2008, 30(3): 550-553.

LIN Yang, ZHENG Huifang, FENG Jin, et al. Detection and suppression of narrow band RFI for synthetic aperture radar imaging[J]. Chinese Journal of Aeronautics, 2015, 28(4): 1189-1198. doi: 10.1016/j.cja.2015.06.018

LI Dong, LIU Hongqing, and YANG Lisheng. Efficient time-varying interference suppression method for synthetic aperture radar imaging based on time-frequency reconstruction and mask technique[J]. IET Radar, Sonar Navigation, 2015, 9(7): 827-834. doi: 10.1049/iet-rsn.2014. 0218.

CHANG Wenge, CHERNIAKOV M, LI Xiangyang, et al. Performance analysis of the notch filter for RF interference suppression in ultra-wideband SAR[C]. The 9th International Conference on Signal Processing, Beijing, 2008: 2446-2451. doi: 10.1109/ICOSP.2008.4697644.

LI Tingjun, YANG Haining, and ZHOU Zhengou. RFI suppression based on phase-coded stepped-frequency waveform in through-wall radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 53(3): 1583-1591. doi: 10.1109/TGRS.2014.2345514

ZHOU Hao and WEN Biyang. Radio frequency interference suppression in small-aperture high-frequency radars[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(4): 788-792. doi: 10.1109/LGRS.2011.2181817.

LUO Zhongtao, HE Zishu, and LI Jun. An effective scheme for radio frequency interference suppression in high-frequency radar[C]. Radar Conference, Arlington, 2015: 539-544. doi: 10.1109/RADAR.2015.7131057.

周峰, 邢孟道, 保铮. 基于特征子空间滤波的SAR窄带干扰抑制方法[J]. 电子与信息学报, 2005, 27(5): 767-770.

ZHOU Feng, XING Mengdao, and BAO Zheng. Narrow band interference suppression for SAR using eigen subspace based filtering[J]. Journal of Electronics Information Technology, 2005, 27(5): 767-770.

ZHOU Feng, TAO Mingliang, and BAO Zheng. Suppression of Narrow-band interference in SAR data[C]. International Geoscience and Remote Sensing Symposium (IGASS), Beijing, 2014: 227-230. doi: 10.1109/IGARSS.2014.6946398.

VU V T, SJGREN T K, PETTERSSON M I, et al. RFI Suppression in ultrawideband SAR using an adaptive line enhancer[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(4): 694-698. doi: 10.1109/LGRS.2010.2045633.

LAMOUNT-SMITH T, HILL R D, HAYWARD S D, et al. Filtering approaches for interference suppression in low-frequency SAR[J]. IEE Proceedings: Radar, Sonar and Navigation, 2006, 153(4): 338-344. doi: 10.1049/ip-rsn: 20050092.

NABIL H, CHEN Jie, KAMEL H, et al. Bidirectional notch filter for suppressing pulse modulated radio-frequency interference in SAR data[C]. International Geoscience and Remote Sensing Symposium (IGASS), Quebec City, 2014: 1136-1139. doi: 10.1109/IGARSS.2014.6946630.

LORD R T and INGGS M. R. Efficient RFI suppression in SAR using a LMS adaptive filter integrated with range- Doppler algorithm[J]. Electronics Letters, 1999, 35(8): 629-630. doi: 10.1049/el:19990437.

LUO X, ULANDER L M, ASKNE J, et al. RFI suppression in ultra-wideband systems using LMS filters in frequency domain[J]. Electronics Letters, 2001, 37(4): 241-243. doi: 10.1049/el:20010153.

HAYKIN S. Adaptive Filter Theory[M]. 3rd edn, Upper Saddle River, NJ, Prentice-Hall, 1996: 432-438.

GONG Y and COWAN C F N. A novel variable tap-length algorithm for linear adaptive filters[C]. International Conference on Acoustics, Speech and Signal Processing, Montreal, Canada, 2004: 825-828. doi: 10.1109/ICASSP.2004. 1326385.

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