We propose an estimation method for the space-time covariance matrix of sea clutter to support the application of waveform-agile sensing procedures that rely on accurate estimation of this matrix. The method exploits the special structure of the vectorized states of the scattering function for the dynamical system model governing the temporal evolution of the clutter matrix followed by a multip...

In this paper, we investigate target detection based on the different relevance of sea clutter with a deep learning approach. The proposed method employs deep convolution autoencoder (CAE) to learn the necessary features and classification boundaries using the simulated data without employing any explicit features on the pulsed radar signals. Compared with conventional methods for sea clutter s...

Frequency diverse (FD) radar waveforms are attractive in radar research and practice. By combining two typical FD waveforms, the frequency diverse array (FDA) and the steppedfrequency (SF) pulse train, we propose a general FD waveform model, termed the random frequency diverse multi-input-multioutput (RFD-MIMO) in this paper. The new model can be applied to specific FD waveforms by adapting par...

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 th...

The detection of a crossing target in the nearfield in Gaussian clutter is explored. The relative phase shifts across antenna elements are nonlinear functions of the geometry and change through time. Consequently, crossing targets in the nearfield exhibit a changing phase called spatial Doppler and can be separated from the highly correlated clutter. By using two examples, the signal-to-noise r...

An airborne radar echo signal includes signals returned from clutter and a target; thus, simulating the may be crucial for predicting analyzing accurate performance. Because it can extremely difficult expensive to obtain real measured data various scenarios, an generation method is required. Existing weather ground simulators X-band are combined simulate when two clutters exist simultaneously. ...

This paper proposes orthogonal Discrete Frequency Coding Space Time Waveforms (DFCSTW) for Multiple Input and Multiple Output (MIMO) radar detection in compound Gaussian clutter. The proposed orthogonal waveforms are designed considering the position and angle of the transmitting antenna when viewed from origin. These orthogonally optimized show good resolution in spikier clutter with Generaliz...

We present a flexible time-domain synthetic aperture radar signal simulation system. We demonstrate its use in simulating clutter, stationary and moving targets. The point target analysis shows that the observed impulse response agrees with theoretical values. Clutter results how that the observed clutter corresponds to K distribution model. We also demonstrate that the system may be used for t...

• Characterize acoustic clutter in a manner that will lead to its mitigation. • Improve the understanding of the effects of seafloor morphology and composition on scattering and clutter. • Improve geo-acoustic parameter extraction from reverberation data. • Improve our understanding of the multi-static physical mechanisms (below 5kHz) which scatter incident energy into a receiver and which can ...

A new empirical model for windblown radar ground clutter Doppler spectra is developed based on many clutter spectral measurements obtained with Lincoln Laboratory's L-Band Clutter Experiment (LCE) and Phase One five-frequency (i.e., VHF, UHF, L-, S-, and X-band) instrumentation radars over spectral dynamic ranges reaching 60 to 80 dB below zero-Doppler peaks. The model includes both ac and dc s...