Ningning Tong

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Multiple-input multiple-output (MIMO) radar with sparse planar arrays is expected to provide one snapshot imaging of complex motion targets at low hardware costs. In recent years, compressive sensing (CS) has been applied to MIMO radar imaging with limited antenna arrays. However, CS has to convert the matrix into a vector, which results in a large(More)
A novel method for three-dimensional (3D) imaging by combining a narrowband bistatic multiple-input-multiple-output (MIMO) radar with two uniform linear arrays and inverse synthetic aperture technique is presented. During a short coherent processing interval (CPI), the motion of the target can be equivalent to a synthetic uniform linear array, which,(More)
A novel method for three-dimensional (3D) image scaling of spinning target is proposed via wideband and narrowband radar images registration. It gets the scaling factor by extracting the difference of two images, which are obtained via two distributed radar in space. The size and angle of a distorted 3D image obtained via wideband radar, is interrelated(More)
A new variable-step-size LMS algorithm is proposed, and it performance is analyzed. Simulation results indicate that the performance is superior to that of existing VSS algorithm and NLMS algorithm. The proposed algorithm is then applied to adaptive noise jamming cancellation system; the computer simulation shows superior performance over the NLMS algorithm(More)
Compressive sensing (CS) has been introduced into inverse synthetic aperture radar (ISAR) imaging with partial measurements. However, in the case of transmitting sparse frequency-stepped chirp signal (FSCS), the CS-based method will produce an irregular range cell migration (IRCM) problem in the recovered high-resolution range profiles (HRRPs). The IRCM is(More)
Based on fourth-order cumulant, a new method is proposed to estimate the frequency and 2-D arrival angles of coherent signals, which is called cumulant-based time-space smoothing (CTSS) algorithm. Firstly a time-space smoothing matrix is constructed by temporal and spatial data of two uniform parallel linear arrays, and then 3-D parameters of coherent(More)
A new variable-step-size LMS algorithm is proposed, and it performance is analyzed. Simulation results indicate that the performance is superior to that of existing VSS algorithm and NLMS algorithm. The proposed algorithm is then applied to adaptive noise jamming cancellation system; the computer simulation shows superior performance over the NLMS algorithm(More)