Fractionally Nyquist Sample Spaced ARMA Blind Equalizer for Direct Signal Recovery in Passive Bistatic Radar

WANG Feng; SHEN Wei; JIANG Defu; WEI Shuang

doi:10.1049/cje.2017.01.010

Volume 26 Issue 3

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WANG Feng, SHEN Wei, JIANG Defu, WEI Shuang. Fractionally Nyquist Sample Spaced ARMA Blind Equalizer for Direct Signal Recovery in Passive Bistatic Radar[J]. Chinese Journal of Electronics, 2017, 26(3): 658-666. doi: 10.1049/cje.2017.01.010

Citation:

WANG Feng, SHEN Wei, JIANG Defu, WEI Shuang. Fractionally Nyquist Sample Spaced ARMA Blind Equalizer for Direct Signal Recovery in Passive Bistatic Radar[J]. Chinese Journal of Electronics, 2017, 26(3): 658-666. doi: 10.1049/cje.2017.01.010

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Fractionally Nyquist Sample Spaced ARMA Blind Equalizer for Direct Signal Recovery in Passive Bistatic Radar

doi: 10.1049/cje.2017.01.010

1.
Array and Information Processing Laboratory, College of Computer and Information, Hohai University, Nanjing 211100, China;
2.
Nanjing Research Institute of Electronics Technology, Nanjing 210039, China

Funds: This work is supported by the Natural Science Foundation of Jiangsu Province (No.BK20151501, No.BK20140858), Fundamental Research Funds for the Central Universities (No.2015B03014), and the National Natural Science Foundation of China (No.61401145).

Received Date: 2015-10-14
Rev Recd Date: 2016-04-09
Publish Date: 2017-05-10

Abstract

Abstract

This paper proposes a modified signal processing structure based on the fractionally Nyquist sample spaced structure for passive bistatic radar. To recover the direct signal from the multipath clutter, an equalizer of the Auto regressive moving average (ARMA) type is proposed based on the fractionally Nyquist sample spaced constant modulus algorithm. Compared with the conventional Nyquist sample spaced equalizer, the equalizer of the fractionally Nyquist sample spaced ARMA structure is more effective in dealing with deep fading multipath channels with zeros near the unit circle. Computer simulations and real data tests indicate that the proposed approach outperforms the conventional processing structure in terms of both clutter residual and mean square error.
- Passive bistatic radar,
- Constant modulus algorithm,
- Direct signal recovery,
- Multipath clutter cancellation,
- Fractionally spaced equalizer

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References(30)

References

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