The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions
IEEE Transactions on Signal Processing
Performance of quadratic time-frequency distributions as instantaneous frequency estimators
IEEE Transactions on Signal Processing
GLRT-based adaptive detection algorithms for range-spread targets
IEEE Transactions on Signal Processing
Minimum-variance time-frequency distribution kernels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Adaptive detection of range distributed targets
IEEE Transactions on Signal Processing
Further results on the minimum variance time-frequency distributionkernels
IEEE Transactions on Signal Processing
Linear frequency-modulated signal detection using Radon-ambiguitytransform
IEEE Transactions on Signal Processing
Optimal quadratic detection and estimation using generalized jointsignal representations
IEEE Transactions on Signal Processing
Radar HRRP target recognition based on higher order spectra
IEEE Transactions on Signal Processing
The finite ridgelet transform for image representation
IEEE Transactions on Image Processing
JBEAM: multiscale curve coding via beamlets
IEEE Transactions on Image Processing
Digital Signal Processing
Axis rotation MTD algorithm for weak target detection
Digital Signal Processing
| Hi-index | 35.68 |
High resolution radars (HRRs) transmit a wideband signal to achieve a high range resolution. A target is considered as composed of multiple scatterers, which occupy or spread in multiple radar range cells with several scatterers in each cell. Therefore, the refelection of a target spreads in multiple range cells in the received signal, which contains more information of target than that obtained from low resolution radars. The target in high resolution radar systems is a range-spread target. The range-spreading or echo features of target are utilized for target detection and identification. The echoes of target are convolutions of transmitted signals with target range-scattering functions dependent on the gesture of target to the line of radar sight. A single echo is used in the conventional detection. It is difficult for target detection and identification in low signal-to-noise ratio (SNR) condition. In this paper, we propose a new range-spread target detection scheme exploiting the image features of cross time-frequency distribution (TFD) of a pair of adjacent received signals. After dechirping, the received signal reflected from target consists of multiple sinusoidal components due to its multiple scatterers when a linear frequency modulated (LFM) signal is transmitted from radar. Some regular image patterns or features of target appear in the cross TFD of two adjacent received signals, While the cross TFD of two independent Gaussian noises does not show such patterns. The cross TFD features are exploited in the proposed scheme. Three steps are composed in the proposed scheme. Firstly, a cross smoothed-pseudo Wigner-Ville distribution (CSPWVD) is made for two adjacent received signals to generate a two-dimensional (2-D) TF image. Then, some regular geometric patterns are detected and extracted from the image. At last, two features of the extracted geometric patterns are jointly utilized to detect target. The proposed algorithm is verified by using raw radar data. It outperforms the conventional detection methods.