Novel sparse apertures ISAR imaging algorithm via the TLS‐ESPRIT technique

Ji, Bingren; Zhao, Bin; Wang, Yong; Ru, Xu; Yeo, T.S.

doi:10.1049/iet-rsn.2019.0564

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…Therefore, it is challenging to separate the last two nearby targets because the distance between them is less than a frequency resolution cell. For the purpose of comparison, the CCS‐based methods, matrix smoothed L0‐norm (MSL0) [34] and adaptive matching pursuit (AMP) [17] and the TLS‐ESPRIT method [15] are also applied. The simulation conditions are the same as those for Simulation 1, and the reconstruction results obtained by these six methods are depicted in Figure 4.…”

Section: Resultsmentioning

confidence: 99%

“…Nevertheless, the performance of the proposed method depends on the density of the search step, which makes it difficult to obtain a well‐focussed result. In [15], the total least squares estimation of the signal parameters via the rotational invariance technique (TLS‐ESPRIT) is used for sparse‐aperture ISAR imaging, this technique extracts the locations of the scatters on the target by exploiting the rotational invariance among the echo data subspaces, thus avoiding the grid search of the MUSIC algorithm. However, only the zero‐padding operation has been used for the sparse data parts.…”

Section: Introductionmentioning

confidence: 99%

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Fast, super‐resolution sparse inverse synthetic aperture radar imaging via continuous compressive sensing

Lv¹,

Ma²,

Ma³

et al. 2022

IET Signal Processing

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Conventional inverse synthetic aperture radar (ISAR) imaging with sparse aperture usually suffers from high side lobes and wide main lobes, which limit the applications of radar super‐resolution imaging, multi‐target resolution, and cognitive reconfiguration. This paper proposes a fast, super‐resolution imaging method employing continuous compressive sensing for sparse‐aperture ISAR. First, the received echo in each range bin is characterised as a linear combination of multiple frequencies shown in a continuous atomic set, established into an atomic norm minimisation (ANM) mode. Second, to improve the resolution and reduce the computational burden significantly, a locally convergent iterative algorithm based on the alternating direction method of multipliers, which iteratively performs ANM with a sound reweighting strategy, is implemented. Then, the low‐rank Toeplitz covariance matrix, which contains the information of the target, is obtained. Subsequently, the Vandermonde decomposition of the Toeplitz covariance matrix is performed to acquire the locations and intensities of the scattering points. Finally, the super‐resolution result is generated by depicting the estimated scatterers in the image. Extensive numerical experiments demonstrate that the proposal is highly effective in recovering the super‐resolution image and shows better performance than state‐of‐the‐art methods.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast, super‐resolution sparse inverse synthetic aperture radar imaging via continuous compressive sensing

Lv¹,

Ma²,

Ma³

et al. 2022

IET Signal Processing

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show abstract

“…Sensor arrays have been widely used in radar [1], sonar [2], remote sensing [3] and other systems [4,5], due to the significant advantages in terms of implementation cost and hardware complexity. Recently, the wideband beamforming capability has become an important indicator for sparse array design [6].…”

Section: Introductionmentioning

confidence: 99%

Sparse hydrophone array synthesis for frequency‐invariant and multi‐angle beampatterns using block‐structured Bayesian compressive sensing

Wang

Zhao

2023

IET Radar Sonar & Navi

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To solve the synthesised accuracy degradation of traditional Bayesian compressive sensing (BCS) in wideband multi‐beam hydrophone array synthesis, a novel sparse array synthesis method based on block‐structure Bayesian compressive sensing (BS‐BCS) is proposed for frequency‐invariant and multi‐angle beampatterns. The multi‐angle beampatterns at different frequencies are synthesised in block structure using the shared position strategy which effectively reduces the number of array elements. In order to meet the minimum spacing requirement of adjacent array elements in practical engineering, the constraint converted off‐grid method is proposed to improve the array synthesis accuracy. The grid scaling is introduced to obtain the possible array element positions. The array positions and weights can be solved by the BCS solver and corrected by Taylor perturbation. To validate the effectiveness and feasibility of the proposed method, simulations and actual experiments are carried out. The synthesised errors and peak sidelobe levels (PSLLs) of multi‐angle beampatterns obtained by the constraint converted off‐grid method outperforms those of other methods. The beamforming results of actual experiments in marine environment show that the PSLLs of the beampatterns obtained by BS‐BCS is lower at least 6.3 dB than that of uniform array, which demonstrates the effectiveness of the proposed method.

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“…As an advanced detection system, inverse synthetic aperture radar (ISAR) can obtain the high-resolution twodimensional (2D) radar images of non-cooperative moving targets at all-day, all-weather, and long distance, which is of great significance in national defence and civil fields [9][10][11]. Previous studies have demonstrated that the high-resolution passive radar can be enabled by the use of multiple adjacent DVB-T channels [12].…”

Section: Introductionmentioning

confidence: 99%

Novel approach for shipborne‐passive bistatic imaging with DVB‐T signals based on MIAA–RID technique

Wang

Yang

Yeh³

et al. 2022

IET Radar Sonar & Navi

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The shipborne‐passive bistatic inverse synthetic aperture radar system with digital video broadcasting terrestrial (DVB‐T) signals is very important in the fields of radar imaging, but it suffers from the problems of grating lobes caused by the spectral gaps when multiple DVB‐T channels are applied, and the non‐stationary echo signal for the complex motions of the ship. In this paper, a new algorithm based on the Missing Data Iterative Adaptive Approach (MIAA) combined with the Range Instantaneous Doppler (RID) technique is proposed to address these problems. First, the authors establish the imaging geometry and signal model. Based on these models, the range resolution and Doppler frequency are analysed. Then, the bandwidth synthesis in the frequency domain for the DVB‐T signal is derived. Finally, the MIAA method is used to recover the spectral gaps of the range profile for multiple DVB‐T channels, and the azimuth compression is carried out by the RID method after the translational motion compensation. Simulation results show the effectiveness of the algorithm proposed in this paper.

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Novel sparse apertures ISAR imaging algorithm via the TLS‐ESPRIT technique

Cited by 5 publications

References 28 publications

Fast, super‐resolution sparse inverse synthetic aperture radar imaging via continuous compressive sensing

Fast, super‐resolution sparse inverse synthetic aperture radar imaging via continuous compressive sensing

Sparse hydrophone array synthesis for frequency‐invariant and multi‐angle beampatterns using block‐structured Bayesian compressive sensing

Novel approach for shipborne‐passive bistatic imaging with DVB‐T signals based on MIAA–RID technique

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