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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. Content type: Research

    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...

    Authors: Wenhui Xiong, Jin Cao and Shaoqian Li

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:178

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  2. Content type: Research

    In this paper, multi-frequency co-prime arrays are employed to perform direction-of-arrival (DOA) estimation with enhanced degrees of freedom (DOFs). Operation at multiple frequencies creates additional virtua...

    Authors: Elie BouDaher, Fauzia Ahmad and Moeness G Amin

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:168

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  3. Content type: Research

    Multi-static passive radar (MPR) systems typically use narrowband signals and operate under weak signal conditions, making them difficult to reliably estimate motion parameters of ground moving targets. On the...

    Authors: Saurav Subedi, Yimin D Zhang, Moeness G Amin and Braham Himed

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:157

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  4. Content type: Research

    A general echo model is derived for the synthetic aperture radar (SAR) imaging with high resolution based on the scalar form of Maxwell’s equations. After analyzing the relationship between the general echo mo...

    Authors: Bing Sun, Yufeng Cao, Jie Chen, Chunsheng Li and Zhijun Qiao

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:153

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  5. Content type: Research

    A coprime sensor array (CSA) is a non-uniform linear array obtained by interleaving two uniform linear arrays (ULAs) that are undersampled by coprime factors. A CSA provides the resolution of a fully populated...

    Authors: Kaushallya Adhikari, John R. Buck and Kathleen E. Wage

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:148

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  6. Content type: Research

    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 ...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:120

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  7. Content type: Research

    In this paper, the application of vector analysis tool in the illuminated area and the Doppler frequency distribution research for the airborne pulse radar is studied. An important feature of vector analysis i...

    Authors: Haijiang Wang and Ling Yang

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:114

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  8. Content type: Research

    Bi-static passive synthetic aperture radar (SAR) systems using ground broadcast and wireless network signals suffer from a low spatial resolution due to the narrow bandwidths and low carrier frequencies. By ex...

    Authors: Xinhua Mao, Yimin D Zhang and Moeness G Amin

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:104

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  9. Content type: Research

    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...

    Authors: Fauzia Ahmad, Moeness G Amin and Traian Dogaru

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:100

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  10. Content type: Research

    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...

    Authors: Jindong Zhang, YangYang Ban, Daiyin Zhu and Gong Zhang

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:94

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  11. Content type: Research

    A novel adaptive beamforming algorithm against large direction-of-arrival (DOA) mismatch without using optimization toolboxes is proposed. In contrast to previous works, this new beamformer employs two reconst...

    Authors: Julan Xie, Huiyong Li, Zishu He and Chaohai Li

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:91

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  12. Content type: Research

    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...

    Authors: Jian Cheng, Lan Li, Hongsheng Li and Feng Wang

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:87

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  13. Content type: Research

    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...

    Authors: Zhengwu Xu and Tong Liu

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:75

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  14. Content type: Research

    In this paper, we propose a new supervised feature extraction algorithm in synthetic aperture radar automatic target recognition (SAR ATR), called generalized neighbor discriminant embedding (GNDE). Based on m...

    Authors: Yulin Huang, Jifang Pei, Jianyu Yang, Tao Wang, Haiguang Yang and Bing Wang

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:72

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  15. Content type: Research

    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...

    Authors: Zengshan Tian, Yuan Zhang, Mu Zhou and Yu Liu

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:65

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  16. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:63

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  17. Content type: Research

    Since the traditional CFAR algorithm is not suitable for high-resolution target detection of synthetic aperture radar (SAR) images, a new two-stage target detection method based on variance weighted informatio...

    Authors: Zongjie Cao, Yuchen Ge and Jilan Feng

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:45

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  18. Content type: Research

    In this paper, a cooperative transmission protocol for cognitive radio systems is proposed. In this protocol, the primary system comprises a transmitter (PT), a receiver (PR), and a decode-and-forward relay (R...

    Authors: Feng Zhao, Xiangqi Sun, Hongbin Chen and Rongfang Bie

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:34

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  19. Content type: Research

    The cyclostationarity feature of modulated signals was widely applied for signal detection and parameter estimation. Previous studies on blind recognition of the modulation type of a received signal are genera...

    Authors: Zhuo Sun, Yilong Chen, Siyuan Liu and Wenbo Wang

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:5

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  20. Content type: Research

    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...

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

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:6

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  21. Content type: Research

    Classification in large-scale data is a key problem in big data domain. The theory of compressive sensing enables the recovery of a sparse signal from a small set of linear, random projections which provides a...

    Authors: Wei Wang, Zhangliang Chen, Jiasong Mu and Tingting Han

    Citation: EURASIP Journal on Advances in Signal Processing 2014 2014:1

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