Waveform design and high-resolution imaging of cognitive radar based on compressive sensing

Abstract

A coordinate-transform based FFBP algorithm for high-resolution spotlight SAR imaging SCIENCE CHINA Information Sciences 58, 020303 (2015); Colocated MIMO radar waveform design for angular statistical resolution limit in the context of hypothesis testing SCIENCE CHINA Information Sciences 62, 040305 (2019); High-resolution MIMO radar range-angle 2D imaging algorithm based on MAPC-RISR SCIENTIA SINICA Informationis 45, 372 (2015); Research on monopulse forward-looking high-resolution imaging algorithm based on adaptive iteration Defence Technology 16, 158 (2020);. RESEARCH PAPER. SCIENCE CHINA Information Sciences

A novel cognitive ISAR imaging method with random stepped frequency chirp signal

“…where z is a coefficient and its value usually ranges from 0.5 to 2 [25]. Of course, the larger z-value, the better reconstructed result.…”

“…As mentioned in [22], the point for achieving the cognitive capability of radar is to find the relationships between the target characteristics and the transmitted waveforms, and then to adjust the parameters of the transmitted waveforms adaptively for optimal detection of the target. Therefore, most of the recent efforts are focused on algorithms for adaptive waveform design [22][23][24][25].…”

Estimation of wall parameters for cognitive imaging in through-the-wall radar

“…The propagation medium of the 2 nd reflection is air-wall, which refracts at 3 P on the front surface and reflects at 2 P on the rear surface, whose equivalent electrical length 2 W " in air is 3 3 2 2 2( )…”

“…Such idea is same with the concept of cognitive radar proposed by S. Haykin [1], whose one basic ingredient is the intelligent signal processing realized by the radar-scene analyzer to learn through interactions of the radar with the surrounding environment. However, most researches of cognitive radar focus on adaptive waveform design for optimal detection or imaging of targets [2,3]. So far, there are few literatures on concealed targets imaging through environmental information sensing.…”

Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals

“…In this case, an easy way to obtain the compressed data of the signal is to undersample the signal with lower sampling rate than the Nyquist rate [2]. Therefore the measurement matrix is in fact a partial unit matrix [11]. It is important to investigate the mathematical properties of compressive sensing reconstruction for this kind of undersampled spectrum-sparse signal.…”