ESPRIT-like algorithm and its variants are widely used in preprocessing schemes that provide high performance of high-resolution parameter estimation algorithms for coherent signals. However, in the presence of certain phase differences between coherent signals and signal angles, this method suffers serious performance degradation and even fails. In this letter, a modified scheme based on Forward and Backward Partial Toeplitz Matrices Reconstruction named as FB-PTMR is proposed that exploits half rows of the sample covariance matrix (SCM) to reconstruct the data matrix to overcome this weakness. The new approach provides better performance on estimation and probability of resolution compared to the ESPRIT-like method by exploiting a small part of information of the sample covariance matrix. The simulation results verify the effectiveness of our proposed method.

An Improved ESPRIT-Like Algorithm for Coherent Signals DOA Estimation

The interrupted sampling repeater jamming (ISRJ) based on a digital radio frequency memory (DRFM) device is a new type of coherent jamming. This kind of jamming usually occurs as main-lobe jamming and has the advantages of low power requirements and easy parameter adjustment, posing a serious threat to the modern radar systems. In order to suppress the ISRJ, this paper proposes an adaptive transmitting scheme based on a phase-coded signal. The scheme firstly performs jamming perception to estimate the jamming parameters, then, on this basis, optimizes the waveform with genetic algorithm. With the optimized waveform, the jamming signal is orthogonal to the target echo, thus it can be easily suppressed with pulse compression. Simulation experiments are performed to verify the effectiveness of the scheme and the results suggest that the peak-to-side-lobe ratio (PSR) and integrated side-lobe level (ISL) of the pulse compression can be improved by about 16 dB and 15 dB, respectively, for the case where the jamming-to-signal ratio (JSR) is 13 dB.

An Adaptive Transmitting Scheme for Interrupted Sampling Repeater Jamming Suppression.

Minimum local peak sidelobe level waveform design with correlation and/or spectral constraints

In this work, we apply deep learning to estimate the direction-of-arrival (DoA) of multiple narrowband signals with a uniform linear array in a coherent environment. First, the logarithmic eigenvalue-based classification network (LogECNet) is introduced to enhance signal number detection accuracy in challenging scenarios, such as the low signal-to-noise (SNR) regime and limited snapshots. Next, a multi-label classification model called the root-spectrum network (RSNet) is devised to estimate the DoAs using the signal number inferred by LogECNet. In the proposed architecture, the full-row Toeplitz matrices reconstruction (FTMR), which exploits all rows of the signal covariance matrix (SCM), is combined with LogECNet and RSNet to inversely map the SCM to the numerical DoAs in the coherent scenario. It is shown that the eigenvalues factorized from the FTMR output matrix become more robust sources for signal enumeration than those of the forward/backward spatial smoothing (FBSS) algorithm. Furthermore, the logarithmic scaling of the eigenvalues of the FTMR results in LogECNet outperforming other detectors. The simulation results show our proposed method not only improves the signal number detection and angular estimation performance, but also achieves the complexity reduction with respect to the prior schemes.

Deep Learning-Aided Coherent Direction-of-Arrival Estimation With the FTMR Algorithm

A template fitting approach for cognitive unimodular sequence design

In this paper, a new direction-of-arrival (DOA) estimation method based on multiple Toeplitz matrices reconstruction is proposed for coherent narrowband signals with a uniform linear array (ULA). First, the received signals impinging on the ULA are rearranged in a Toeplitz matrix, and a full set of correlation matrices are computed by the Toeplitz-based matrix and the observed data of each sensor. Then, a weighted summation by squaring these correlation matrices is obtained to form the full rank equivalent data covariance matrix. Furthermore, a forward-and-backward scheme is presented to improve the estimation accuracy of the covariance matrix. Based on the joint diagonalization structure of the covariance matrix with noise contributions as a scalar matrix, the angle estimation problem can be resolved by combining it with subspace-based methods. In comparison with currently known matrix reconstruction methods, the proposed algorithm applies all information contained in the correlation matrices adequately without de-noising processing in advance. Even in the case of a low signal-to-noise ratio and low snapshot number with half the array aperture reduced, the new method provides good performance on estimation and resolution. Finally, simulation results are demonstrated to verify the theoretical prediction.

/pdf/multiple-toeplitz-matrices-reconstruction-algorithm-for-doa-53t9s83zbz.pdf

Multiple-Toeplitz Matrices Reconstruction Algorithm for DOA Estimation of Coherent Signals

A waveform design method for suppressing range sidelobes in desired intervals

Dual polarised antennas are normally fed by symmetrical feed networks in order to obtain symmetrical radiation patterns for two orthogonal polarisations. In this study, a dual polarised aperture-coupled patch antenna using asymmetrical feed for X-band application is proposed. The exploitation of asymmetrical feed structure in exciting dual polarisations turns out to be valid, and is capable of realising symmetrical radiation patterns just as the traditional feed networks have done. Besides, the asymmetrical feed provides a wide impedance bandwidth and high isolation between ports. Key parameters studies and current distributions analysis prove the feasibility of the asymmetrical feed. Both simulated and measured results indicate an impedance bandwidth over 35.2% and the isolation is higher than 30 dB over the entire bandwidth. The cross-polarisation levels in the E- and H-planes for both polarisations are lower than −20 dB. Moreover, the antenna prototype shows good symmetrical property in radiation patterns for dual polarisations.

https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-map.2014.0647

Dual polarised aperture-coupled patch antenna using asymmetrical feed

Joint DOA and polarization estimation for unequal power sources based on reconstructed noise subspace

Constant Modular Waveform Design Method for Suppressing Range Sidelobes in Specified Intervals: Constant Modular Waveform Design Method for Suppressing Range Sidelobes in Specified Intervals

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