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Based on the linear relationship of channel data between synthetic transmit aperture (STA) and apodized plane wave (PW) firings, we previously proposed compressed sensing (CS) based STA (CS-STA) for linear array, which achieves higher frame rate and higher contrast-to-noise ratio (CNR) than STA while maintaining its high resolution. Because diverging wave (DW) instead of PW is usually adopted in phased...
Based on the linear relationship of channel data between synthetic transmit aperture (STA) and apodized plane wave (PW) firing, we previously proposed compressed sensing (CS) based STA (CS-STA) for linear array (Liu et al, IEEE TMI 2017), which achieves higher frame rate and higher contrast-to-noise ratio (CNR) than STA while maintaining its high resolution. Because diverging wave (DW) instead of...
A full reconstruction method of focal-field distribution using compressed sensing (CS) is presented. Exploring focal-field distribution characteristics, a proper sparsifying basis is constructed via the Kronecker product. The full distribution data can be obtained by solving a l1-norm minimization problem. Three scenarios are set up to verify the effectiveness of the proposed method. Simulation results...
With the increase of the imaging resolution, the resulting enormous amount of sampling raw data aggravates transmission and storage load for multi-channel synthetic aperture radar (SAR) system. Considering the fact that the correlation among the dual-channel SAR images is high, we propose a Bayesian compressive sensing (BCS) based SAR imaging algorithm for ground moving targets indication (GMTI) system,...
This paper presents a compressed sensing based sensor selection algorithm for direction-of-arrival estimation, in a large scale randomly distributed sensor array. First, a target tracker is employed for the prior information of target position. Second, according to the prior information, we reduce rank of sensing matrix by narrowing the interesting area. Third, a linear independence combination of...
In this paper, we propose a novel compressed sensing based joint detection and tracking algorithm, named CS-JDT algorithm, to track multiple targets for STAP radar system. A novel general similar sensing matrix pursuit (GSSMP) algorithm is proposed to reconstruct the whole radar scenario (DOA-Doppler plane) for each range gate at consecutive scans. The proposed GSSMP algorithm addresses several problems...
This paper presents a novel dynamic compressed sensing based track-before-detect (DCS-TBD) algorithm. The proposed DCS-TBD algorithm reconstructs the radar scenario at each scan, and extracts the states of potential targets from the reconstructed radar scenario. The proposed algorithm distinguishes the true targets from clutter via a Kalman filter based potential targets management scheme. Following...
In this paper, the previously proposed compressed sensing based synthetic transmit aperture (CS-STA) was compared with synthetic transmit aperture (STA), multi-element synthetic transmit aperture (ME-STA) and the conventional focused mode in two different phantoms. The quantitative results of full width at half-maximum (FWHM) and contrast-to-noise ratio (CNR) demonstrated the merits of CS-STA. Besides,...
In this paper, a novel method named as coherent column replacement method is proposed to reduce the coherence of a partially deterministic sensing matrix, which is comprised of highly coherent columns and random Gaussian columns. The proposed method is to replace the highly coherent columns with random Gaussian columns to obtain a new sensing matrix. The measurement vector is changed accordingly....
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