The coherent processing and superresolution of multi-band radar data from multiple
spatially collocated radars is addressed by utilizing a sparse representation technique in this …

An adaptive super‐resolution imaging algorithm to enhance the performance of airborne
single channel forward‐looking radar is proposed. Multiple beams data to expand the …

Maximizing the coherent processing interval (CPI) is crucial when performing passive radar
detection on weak signal reflections. In practice, however, the CPI is limited by the target …

A super‐resolution three‐dimensional (3D) imaging method using spectrum estimation
theory and narrowband multiple‐input–multiple‐output (MIMO) radar is presented. First, the …

Recently, the generalized sparse iterative covariance-based estimation algorithm was
extended to allow for varying norm constraints in scanning radar applications. In this paper …

A maximum a posteriori (MAP) approach, based on the Bayesian criterion, is proposed to
overcome the low cross-range resolution problem in forward-looking imaging. We adapt …

We address the problem of high-resolution radar imaging in low signal-to-noise ratio (SNR)
environments in an approximate Bayesian inference framework. First, the probabilistic …

A fast super‐resolution method for joint Doppler frequency, direction of departure and
direction of arrival estimation in bistatic MIMO radar is presented. First, the 3D echo signal …

To obtain higher range resolution without incurring significant hardware costs, this paper
proposes a novel method for high-resolution sparse subband imaging based on Bayesian …

Forward-looking correlated imaging plays an increasingly important role in modern radar
imaging systems. It overcomes disadvantages of traditional side or squint synthetic aperture …