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Sparse Sensing in Radar and Sonar Signal Processing

Recent advances in signal processing such as sparse sensing has offered researchers new opportunities to study radar and sonar. The goal of this Special Issue is to publish the most recent results in the new advances of sparse sensing in radar and sonar signal processing.

Edited by:  Moeness Amin, Jun-Hong Cui, Qilian Liang, Yiming Pi, Radmila Pribic and Sherwood Samn

  1. Research

    Sparse signal recovery with unknown signal sparsity

    In this paper, we proposed a detection-based orthogonal match pursuit (DOMP) algorithm for compressive sensing. Unlike the conventional greedy algorithm, our proposed algorithm does not rely on the priori know...

    Wenhui Xiong, Jin Cao and Shaoqian Li

    EURASIP Journal on Advances in Signal Processing 2014 2014:178

    Published on: 11 December 2014

  2. Research

    Single-snapshot DOA estimation by using Compressed Sensing

    This paper deals with the problem of estimating the directions of arrival (DOA) of multiple source signals from a single observation vector of an array data. In particular, four estimation algorithms based on ...

    Stefano Fortunati, Raffaele Grasso, Fulvio Gini, Maria S Greco and Kevin LePage

    EURASIP Journal on Advances in Signal Processing 2014 2014:120

    Published on: 30 July 2014

  3. Research

    Partially sparse imaging of stationary indoor scenes

    In this paper, we exploit the notion of partial sparsity for scene reconstruction associated with through-the-wall radar imaging of stationary targets under reduced data volume. Partial sparsity implies that t...

    Fauzia Ahmad, Moeness G Amin and Traian Dogaru

    EURASIP Journal on Advances in Signal Processing 2014 2014:100

    Published on: 4 July 2014

  4. Research

    Random filtering structure-based compressive sensing radar

    Recently with an emerging theory of ‘compressive sensing’ (CS), a radically new concept of compressive sensing radar (CSR) has been proposed in which the time-frequency plane is discretized into a grid. Random...

    Jindong Zhang, YangYang Ban, Daiyin Zhu and Gong Zhang

    EURASIP Journal on Advances in Signal Processing 2014 2014:94

    Published on: 17 June 2014

  5. Research

    SAR target recognition based on improved joint sparse representation

    In this paper, a SAR target recognition method is proposed based on the improved joint sparse representation (IJSR) model. The IJSR model can effectively combine multiple-view SAR images from the same physical...

    Jian Cheng, Lan Li, Hongsheng Li and Feng Wang

    EURASIP Journal on Advances in Signal Processing 2014 2014:87

    Published on: 9 June 2014

  6. Research

    Vital sign sensing method based on EMD in terahertz band

    Non-contact respiration and heartbeat rates detection could be applied to find survivors trapped in the disaster or the remote monitoring of the respiration and heartbeat of a patient. This study presents an i...

    Zhengwu Xu and Tong Liu

    EURASIP Journal on Advances in Signal Processing 2014 2014:75

    Published on: 22 May 2014

  7. Research

    Pedestrian dead reckoning for MARG navigation using a smartphone

    The demand for navigating pedestrian by using a hand-held mobile device increased remarkably over the past few years, especially in GPS-denied scenario. We propose a new pedestrian dead reckoning (PDR)-based n...

    Zengshan Tian, Yuan Zhang, Mu Zhou and Yu Liu

    EURASIP Journal on Advances in Signal Processing 2014 2014:65

    Published on: 10 May 2014

  8. Research

    Apply hyperanalytic shearlet transform to geometric separation

    This paper first proposes a novel image separation method based on the hyperanalytic shearlet. By combining the advantages of both the hyperanalytic wavelet transform and the shear operation, hyperanalytic she...

    Shuaiqi Liu, Shaohai Hu, Mingzhu Shi, Zhong Zhang and Shuang Liu

    EURASIP Journal on Advances in Signal Processing 2014 2014:63

    Published on: 9 May 2014

  9. Research

    A novel method for sparse channel estimation using super-resolution dictionary

    Due to the sparse distribution of reflectors in space, wireless channels are commonly sparse. Thus, utilizing the sparsity of channels in the delay-Doppler domain, a channel estimation method based on compress...

    Fei Zhou, Jing Tan, Xinyue Fan and Liang Zhang

    EURASIP Journal on Advances in Signal Processing 2014 2014:29

    Published on: 6 March 2014

  10. Research

    Intelligent throat polyp detection with separable compressive sensing

    Compressive sensing can minimize the collection of redundant data in the acquisition step. However, it requires a huge amount of storage and creates a tremendous computation burden due to the size of random me...

    Wei Wang, Dunqiang Lu, Ying Wang, Qinghua Chen and Baoju Zhang

    EURASIP Journal on Advances in Signal Processing 2014 2014:6

    Published on: 16 January 2014