This letter proposes a new method for multiband radar signal fusion by making use of all-phase fast Fourier transform (apFFT) algorithm and iterative adaptive approach (IAA). Central to the proposed are, first, mutual incoherence compensation between various subbands apFFT algorithm, second, application IAA mutually coherent subband measurements fusion. Taking advantage both algorithms, effectively improves range resolution with low sidelobes performs robustly in presence noise. In...

Neural image compression has surpassed state-of-the-art traditional codecs (H.266/VVC) for rate-distortion (RD) performance, but suffers from large complexity and separate models different trade-offs. In this paper, we propose an Efficient single-model Variable-bit-rate Codec (EVC), which is able to run at 30 FPS with 768x512 input images still outperforms VVC the RD performance. By further reducing both encoder decoder complexities, our small model even achieves 1920x1080 images. To bridge...

Relation Classification (RC) plays an important role in natural language processing (NLP). Current conventional supervised and distantly RC models always make a closed-world assumption which ignores the emergence of novel relations open environment. To incrementally recognize relations, current two solutions (i.e, re-training lifelong learning) are designed but suffer from lack large-scale labeled data for relations. Meanwhile, prototypical network enjoys better performance on both fields...

In recent years, multiple-input multiple-output (MIMO) radar systems with space-time adaptive processing (STAP) have been proposed to improve performance. For MIMO radars STAP, one big concern is the clutter rank. Current studies employ rule of time-bandwidth product predict rank using orthogonal waveforms. This paper investigates estimation for more flexible waveform diversity, where waveforms are not constrained be orthogonal. Under general assumption, we derived covariance matrix as a...

Most recent semi-supervised deep learning (deep SSL) methods used a similar paradigm: use network predictions to update pseudo-labels and parameters iteratively. However, they lack theoretical support cannot explain why are good candidates for pseudo-labels. In this paper, we propose principled end-to-end framework named decipher (D2) SSL. Within the D2 framework, prove that related by an exponential link function, which gives using as Furthermore, demonstrate updating will make them...

The detection performances of MIMO radar can be improved by waveform diversity technology. gain depends on the correlation side-lobe level orthogonal set. Generally, peak (PSL) and integrated (ISL) are two most important performance metrics level. Few existing set design algorithms minimize PSL ISL simultaneously. To tackle this problem, article first proposes a metric in form <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</i> -norm,...

This paper presents an effective Polar Format Algorithm (PFA) for spotlight bistatic synthetic aperture radar (SAR) with arbitrary geometry configuration.Nonuniform interpolation and resampling are adopted when converting raw data from polar coordinates to Cartesian according the characteristics of samples in spatial frequency space.Thus, proposed algorithm avoids both rotation transformation calculation azimuth compensation factor thereby corresponding approximate error appeared...

Blind estimation of code and interleaver parameters is useful in smart storage systems ubiquitous communication applications such as adaptive modulation coding, reconfigurable radio systems, non-cooperative etc.In this paper, we analyze Reed-Solomon (RS) encoded data stream propose blind algorithms to identify RS parameters.We also provide estimate block from coded interleaved stream.In addition, synchronization compensation through appropriate bit/symbol positioning integrated with the...

This paper presents a comprehensive study on radar detection using deep learning with application to automotive vehicles. Automotive radars face complex target scenarios consisting of both small point targets and large extended targets. However, the current works mainly focus detection. Moreover, those use range Doppler data for In this paper, based method is presented that takes advantage augmented neural network training prediction. Extensive simulations have been conducted evaluate...

This study presents new insights into sparse frequency waveform analysis and design methods. For a general radar waveform, the total ambiguity in its auto‐correlation function (ACF) is equal to energy power spectral density (PSD) domain. With this relationship, an ACF found be minimised when corresponding PSD uniformly distributed. property extended by establishing relationship between optimal minimum ACF. Based on analysis, method of designing with sidelobe constraint proposed. The...

Blind reconstruction of channel coding parameters plays a significant role in non-cooperative military and spectrum surveillance applications. Further, it also gives additional advantages applications such as cognitive radio, adaptive modulation coding, so on. In this study, blind estimation algorithms are proposed to identify code dimension codeword length low-density parity-check (LDPC) codes at the receiver over noisy or erroneous conditions assuming scenario. The validated using...

This paper presents an Extended Exact Transfer Function (EETF) algorithm for Bistatic Synthetic Aperture Radar (BiSAR) imaging of a Translational Invariant (TI) case.This adopts directly the 2D transfer function monostatic SAR (MoSAR), instead deriving new one, by converting BiSAR into equivalent MoSAR.A azimuth phase compensation is constructed through exploiting this equivalency.Geometry distortion correction result considered in proposed algorithm.In addition, applying condition also...

Multiple-input multiple-output (MIMO) radar equipped with a frequency diverse array (FDA) can produce range-dependent beampattern and increase the degrees-of-freedom of antenna array. In this paper, new method designing MIMO sparse waveforms is proposed for FDA, which randomly samples multiple distance points such that both spectrum constant modulus constraints are realized by design framework. The main steps as follows. We first obtain covariance matrix transmitted signal given ideal...

Multiple-input multiple-output (MIMO) radar has supe- rior performance to conventional one. It been introduced almost every application fleld of in recent years. In prac- tical application, MIMO also faces the problem congested spectrum assignment, which makes it not possible have a continu- ous clear band with large bandwidth. Sparse frequency waveform that contains several individual bands is desirable solution this problem. paper, we propose method design sparse fre- quency set low...

In many array processing, the received signals are nonstationary, or in particular, noncircular. Widely linear minimum variance distortionless response (WL MVDR) beamformers can exploit noncircularity of and improve performance conventional MVDR beamformer. However, optimum WL beamformer, steering vector (ASV) signal coefficient should be known a priori for interest. This requirement puts strict limitation to implementation this We therefore paper propose robust approach optimal beamformer...

Aiming at maximizing waveform diversity gain when designing a phase-coded multiple-input multiple-output (MIMO) radar set, it is desirable that all waveforms are orthogonal to each other. Hence, the lowest possible peak cross-correlation ratio (PCCR) expected. Meanwhile, low auto-correlation side-lobe (PASR) needed for good detection performance. However, difficult obtain closed form solution set from expected values of PASR and PCCR. In this paper, design problem modeled as multi-objective,...

Digital radio frequency memory (DRFM) has emerged as an advanced technique to achieve a range of jamming signals, due its capability intercept waveforms within short time. multiple-input multiple-output (MIMO) radars can transmit agile orthogonal waveform sets for different pulses combat DRFM-based jamming, where any two groups are also orthogonal. In this article, group optimal design model is formulated in order by flexibly designing MIMO radars. Aiming at balancing the intra- and...

A novel affine combination of two adaptive filters is proposed to enhance the performance a generalized sidelobe canceller (GSC) in smart antenna array processing. The method exploits mixing vector, rather than scalar as considered current studies, weight coefficients each component filter such way that overall performances, convergence speed and steady-state performance, conventional GSC are improved. Attributing more degrees freedom (DOFs) offered by combined presents significant...