DocumentCode :
1320049
Title :
Direct-path suppression by spatial filtering in digital television terrestrial broadcasting-based passive radar
Author :
Tao, R. ; Wu, H.Z. ; Shan, Tao
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
Volume :
4
Issue :
6
fYear :
2010
fDate :
12/1/2010 12:00:00 AM
Firstpage :
791
Lastpage :
805
Abstract :
The signal model of digital television terrestrial broadcasting (DTTB) is introduced and its ambiguity function is analysed here. In order to suppress the direct-path (and multipath) interference generated by single frequency network in DTTB-based passive radar, the corresponding spatial filtering methods are designed according to the feature of each channel. In the echo channel, the interference is suppressed by discarding the signal-subspace. The noise-subspace can be estimated from the power of the covariance matrix to avoid the eigen-decomposition and to eliminate the need to obtain the corresponding dimension. In the reference channel, the transmitting signal of a certain transmitter is regarded as the desired signal. The desired signal will be cancelled by conventional spatial filtering algorithms for the high signal-to-noise ratio case, which will also result in a distorted pattern and high side-lobes. To solve this problem, an improved general side-lobe canceller structure is proposed to realise the adaptive beamformer. To improve the robustness of the proposed methods and suppress the distributed clutter, the `broad null` algorithm is combined with the beamformer. The simulation results show that the proposed methods are effective to suppress the interference in DTTB-based passive radar.
Keywords :
digital video broadcasting; echo; passive radar; spatial filters; DTTB-based passive radar; beamformer; covariance matrix; digital television terrestrial broadcasting-based passive radar; direct-path suppression; distorted pattern; echo channel; eigen-decomposition; single frequency network; spatial filtering;
fLanguage :
English
Journal_Title :
Radar, Sonar & Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn.2009.0138
Filename :
5569873
Link To Document :
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