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A novel high resolution ISAR imaging method based on adaptive sparse recovery is proposed in his paper. The ISAR signal in each range bin is sparsely represented by an over-complete chirplet basis matrix, which can be determined by an unknown parameter set. An adaptive parametric sparse recovery method is proposed to retrieve both the parameter set and the ISAR image. This goal is achieved by sequentially...
Inverse synthetic aperture radar (ISAR) imaging of maneuvering targets via matching pursuit (MP) can produce high resolution and remove sidelobe effect, providing that the target rotation rate is already known. For non-cooperative uniformly rotating targets, the rotation rate is unknown and should be retrieved together with the ISAR image. In this paper, a computational efficient parametric MP is...
The ISAR imaging problem can be converted to a sparse recovery problem and efficiently solved by a weighted L1 minimization algorithm, which outperforms the regular L1 minimization substantially, provided the sparse representation is already known. However, the sparse representation of the ISAR signal is related to the target rotation rate, which is usually unknown for noncooperative target. In this...
This paper proposes a blind equalization algorithm based on orthogonal wavelet and coordinate transformation by analyzing the character of 16-QAM signals constellations and orthogonal wavelet transform theory. In the proposed algorithm, a new error function of constant modulus algorithm (CMA) is obtained after making coordinate transformation to output signal of equalizer, the error function will...
A new series equalizer based on constant modulus algorithm (CMA) and decision-directed (DD) algorithm is proposed to overcome inter-symbol interference (ISI) much better in the communication system without the aid of training sequences. The proposed equalizer uses the CMA as the forward filter and DD algorithm as the back filter. These two filters are series and operate concurrently. It makes full...
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