Abstract
Space-frequency DORT (SF-DORT) is an effective time-reversal (TR) imaging method due to its immunity to the noise and adaptability of complex environment. However, some potential drawbacks, such as low range and cross-range resolutions, make SF-DORT inferior to the Space-frequency MUSIC (SF-MUSIC). In this paper, we propose a novel high-resolution imaging method utilizing SF-DORT combining an extrapolated virtual array created by autoregressive vector extrapolation (ARVE). In this way, the aperture of the TR array is extended significantly and the drawbacks associated with SF-DORT can be improved. Simulation results demonstrate that SF-DORT combining the extrapolated virtual array achieve much higher range and cross-range resolutions than without combining.
Highlights
Time reversal (TR) technique has attracted enormous attention in radar imaging fields in recent years due to its spatial and temporal high-resolution focusing characteristics [1]
The TR operator (TRO) is one of the most fundamental TR imaging method, and TRO form the basis of the decomposition of the time-reversal operator (DORT) and the TR multiple signal classification
Space-frequency DORT (SF-DORT) works well under increased clutter and noise levels, its range and co-range resolutions are inferior to SF-MUSIC [9]
Summary
Time reversal (TR) technique has attracted enormous attention in radar imaging fields in recent years due to its spatial and temporal high-resolution focusing characteristics [1]. The TR operator (TRO) is one of the most fundamental TR imaging method, and TRO form the basis of the decomposition of the time-reversal operator (DORT) and the TR multiple signal classification Space-frequency decomposition of the time-reversal operator (SF-DORT) and SF multiple signal classification (SF-MUSIC) are faster TR imaging methods because they obtain the multistatic data matrices (MDMs) much more conveniently than DORT and TR-MUSIC [5]-[8]. SF-DORT works well under increased clutter and noise levels, its range and co-range resolutions are inferior to SF-MUSIC [9]. The performance deterioration of imaging caused by applying the ARVE with the noise matrix can be offset by SFDORT, and high-resolution can be achieved. Simulations show that SF-DORT utilizing the extrapolated virtual array can achieve much higher range and co-range resolutions than without utilizing.
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