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An Efficient Adaptive Angle-Doppler Compensation Approach for Non-Sidelooking Airborne Radar STAP.

Shen M, Yu J, Wu D, Zhu D - Sensors (Basel) (2015)

Bottom Line: In this study, the effects of non-sidelooking airborne radar clutter dispersion on space-time adaptive processing (STAP) is considered, and an efficient adaptive angle-Doppler compensation (EAADC) approach is proposed to improve the clutter suppression performance.In order to reduce the computational complexity, the reduced-dimension sparse reconstruction (RDSR) technique is introduced into the angle-Doppler spectrum estimation to extract the required parameters for compensating the clutter spectral center misalignment.Simulation results to demonstrate the effectiveness of the proposed algorithm are presented.

View Article: PubMed Central - PubMed

Affiliation: College of Computer & Information Engineering, Hohai University, Nanjing 211100, China. smw_nuaa@hotmail.com.

ABSTRACT
In this study, the effects of non-sidelooking airborne radar clutter dispersion on space-time adaptive processing (STAP) is considered, and an efficient adaptive angle-Doppler compensation (EAADC) approach is proposed to improve the clutter suppression performance. In order to reduce the computational complexity, the reduced-dimension sparse reconstruction (RDSR) technique is introduced into the angle-Doppler spectrum estimation to extract the required parameters for compensating the clutter spectral center misalignment. Simulation results to demonstrate the effectiveness of the proposed algorithm are presented.

No MeSH data available.


Related in: MedlinePlus

The clutter angle-Doppler spectrum image with a 10.5 km slant distance. (a) 2D FFT; (b) Spatial RDSR.
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sensors-15-13121-f004: The clutter angle-Doppler spectrum image with a 10.5 km slant distance. (a) 2D FFT; (b) Spatial RDSR.

Mentions: To evaluate the performance of RDSR in the spatial domain, the angle-Doppler spectrum obtained by using RDSR in each Doppler cell is shown in Figure 4b, where we assume N = 16, K = 128, ψ = 30°, and the clutter distance is 10.5 km. For comparison purposes, the spectrum obtained via 2D FFT is also provided in Figure 4a. It is clear that the spatial RDSR image has much better resolution and lower side-lobe level than that of 2D FFT, which will improve the accuracy of estimating the SC location of main-lobe clutter. However, due to the spectrum discontinuity of RDSR in the spatial domain, the spectral center frequency extracting method proposed in reference [11] is also employed to determine the maximum value of the angle spectrum.


An Efficient Adaptive Angle-Doppler Compensation Approach for Non-Sidelooking Airborne Radar STAP.

Shen M, Yu J, Wu D, Zhu D - Sensors (Basel) (2015)

The clutter angle-Doppler spectrum image with a 10.5 km slant distance. (a) 2D FFT; (b) Spatial RDSR.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507633&req=5

sensors-15-13121-f004: The clutter angle-Doppler spectrum image with a 10.5 km slant distance. (a) 2D FFT; (b) Spatial RDSR.
Mentions: To evaluate the performance of RDSR in the spatial domain, the angle-Doppler spectrum obtained by using RDSR in each Doppler cell is shown in Figure 4b, where we assume N = 16, K = 128, ψ = 30°, and the clutter distance is 10.5 km. For comparison purposes, the spectrum obtained via 2D FFT is also provided in Figure 4a. It is clear that the spatial RDSR image has much better resolution and lower side-lobe level than that of 2D FFT, which will improve the accuracy of estimating the SC location of main-lobe clutter. However, due to the spectrum discontinuity of RDSR in the spatial domain, the spectral center frequency extracting method proposed in reference [11] is also employed to determine the maximum value of the angle spectrum.

Bottom Line: In this study, the effects of non-sidelooking airborne radar clutter dispersion on space-time adaptive processing (STAP) is considered, and an efficient adaptive angle-Doppler compensation (EAADC) approach is proposed to improve the clutter suppression performance.In order to reduce the computational complexity, the reduced-dimension sparse reconstruction (RDSR) technique is introduced into the angle-Doppler spectrum estimation to extract the required parameters for compensating the clutter spectral center misalignment.Simulation results to demonstrate the effectiveness of the proposed algorithm are presented.

View Article: PubMed Central - PubMed

Affiliation: College of Computer & Information Engineering, Hohai University, Nanjing 211100, China. smw_nuaa@hotmail.com.

ABSTRACT
In this study, the effects of non-sidelooking airborne radar clutter dispersion on space-time adaptive processing (STAP) is considered, and an efficient adaptive angle-Doppler compensation (EAADC) approach is proposed to improve the clutter suppression performance. In order to reduce the computational complexity, the reduced-dimension sparse reconstruction (RDSR) technique is introduced into the angle-Doppler spectrum estimation to extract the required parameters for compensating the clutter spectral center misalignment. Simulation results to demonstrate the effectiveness of the proposed algorithm are presented.

No MeSH data available.


Related in: MedlinePlus