A Novel Knowledge-Aided Training Samples Selection Method for Terrain Clutter Suppression in Hybrid Baseline Radar Systems

A novel reduced-dimension clutter suppression method based on tensor decomposition

“…In the first simulation, we will verify the performance of the proposed method by utilizing a set of sea observation data obtained by an eight-channel airborne radar in a Class-III sea state. The output signal-to-clutter-plus-noise ratio (SCNR) [13] is an important metric for evaluating the performance of clutter suppression. It can be expressed by…”

Performance analysis of the space-time adaptive processing for distributed space-borne multiple-input multiple-output radar

“…The space-borne multiple-input multiple-output (MIMO) distributed radar that individual radar emit mutually orthogonal waveforms offers many advantages such as wider coverage area, longer detection range, better system's minimum detectable velocity and the ability to mitigate angle scintillation effects [1], [2] [3], [4]. Recently, the researches on MIMO radar have been extended to space-time adaptive processing (STAP).…”

Estimation of clutter covariance matrix in stap based on knowledge-aided and geometric methods

“…For the problem of CCM estimation with small sample support, knowledge-aided (KA) based methods have proven to be an effective class of solutions. One approach of KA based CCM estimation is processing with the aid of the clutter prior information of the CUT [11][12][13][14][15][16]. In [15,16], the colored loading algorithm is proposed, which obtains a more accurate CCM estimate by modifying the traditional sample covariance matrix (SCM) with the prior covariance matrix.…”