This letter considers the coherent integration problem for a maneuvering target, involving range migration (RM) and Doppler frequency (DFM) within one pulse interval. A new method, known as Radon-Lv's distribution (RLVD), is proposed. It can not only eliminate RM effect via jointly searching in target's motion parameters space, but also remove DFM achieve Lv's (LVD). Finally, several simulations are provided to demonstrate effectiveness. The results show that detection ability, proposed...

In this paper, an effective solution is proposed for joint beam and power scheduling (JBPS) in the netted Colocated MIMO (C-MIMO) radar systems distributed multi-target tracking (MTT). At its core, includes a fusion architecture that reduces communication requirements while maintaining overall robustness of system. The employs covariance intersection (CI) to address unknown information correlations among nodes. Each C-MIMO node network can generate time-varying number beams with controllable...

This paper deals with the design of multiple-input multiple-output radar space-time transmit code (STTC) and receive filter (STRF) to enhance moving targets detection in presence signal-dependent interferences. An iterative procedure, whose convergence is analytically proved, devised maximize Signal interference plus noise ratio (SINR) accounting for both a similarity constraint constant modulus requirement on probing waveform. Each iteration algorithm involves solution hidden convex...

This paper considers the coherent integration problem for maneuvering target detection and motion parameters estimation, involving range migration (RM) Doppler frequency (DFM) within pulse interval. A fast non-searching method based on adjacent cross correlation function (ACCF) Lv's distribution (LVD) is proposed, where operation first employed to remove RM reduce order of DFM. After that, LVD applied realize integration, estimation. In addition, at cost some performance loss, another via...

This letter considers the motion parameters estimation problem for a maneuvering target with arbitrary parameterized motion. The slant range of is modeled as polynomial function in terms its multiple and fast method based on adjacent cross correlation (ACCF) proposed, where iterative operation employed to remove migration reduce order Doppler frequency migration. Then are estimated via Fourier transform. Compared generalized Radon transform (GRFT), proposed can estimate without searching...

Networked radar systems have been demonstrated to offer enhanced target tracking capabilities. An effective resource allocation strategy can efficiently optimize system parameters, leading performance enhancements. In this paper, two critical but limited resources are considered for optimization: the number of nodes and transmitted power. scenario, a joint node selection power (JSPA) is developed with objective multiple targets. The proposed mechanism implements optimal based on feedback...

This paper considers the coherent integration problem for a maneuvering target with complex motions, where velocity, acceleration, and jerk result in respectively first-order range migration (FRM), second-order (SRM), third-order (TRM) within pulse interval. A new algorithm based on generalized keystone transform (KT) dechirp process is proposed, which employs KT, six-order fold factor searching to correct TRM, SRM, FRM, respectively. The change during each step computational complexity are...

This paper considers the multi-target tracking (MTT) problem through use of dynamic programming based track-before-detect (DP-TBD) methods. The usual solution this is to adopt a state, which concatenation individual target states, then search estimate in expanded state space. However, involves high-dimensional joint maximization computationally intractable for most realistic problems. Additionally, dimension has be determined before implementing DP search. problematic when number targets...

In this paper, we propose a distributed multiobject tracking algorithm through the use of multi-Bernoulli (MB) filter based on generalized covariance intersection (G-CI). Our analyses show that G-CI fusion with two MB posterior distributions does not admit an accurate closed-form expression. To solve problem, first approximate fused as unlabeled version δ-generalized labeled distribution, referred to (GMB) distribution. Then, allow subsequent another e.g., third sensor node in network, or...

This paper considers the problem of distributed fusion multiobject posteriors in labeled random finite set filtering framework, using a generalized covariance intersection (GCI) method. Our analysis shows that GCI with densities strongly relies on label consistencies between local at different sensor nodes, and hence suffers from severe performance degradation when perfect are violated. Moreover, we mathematically analyze this phenomenon perspective principle minimum discrimination...

This paper deals with the robust waveform design of multiple-input multiple-output radar to improve target detectability embedded in signal-dependent interferences. Two iterative algorithms ensuring convergence properties are introduced maximize worst case signal-to-interference-plus-noise ratio (SINR) over steering matrix mismatches under constant modulus and similarity constraints. Each iteration proposed splits high-dimensional problem into multiple one dimensional problems, which optimal...

Multi-frame track-before-detect (MF-TBD) is a model-based batch processing method. Assuming particular model for the evolution of target states (e.g. constant velocity model) within time, MF-TBD integrates energy by taking advantage space-time correlations between number consecutive frames. Its performance known to be heavily dependent on accuracy motion model, and substantially degrade when maneuvers occur motions do not follow presumed model. We make two contributions towards addressing...

This paper deals with the joint design of Multiple-Input Multiple-Output (MIMO) Space-Time Transmit Code (STTC) and Receive Filter (STRF) to improve detectability a moving target embedded in signal-dependent clutter presence uncertainties on azimuth angle Doppler frequency. The Signal Interference plus Noise Ratio (SINR) is considered as figure merit maximize multiple restrictions STTC are forced at stage, i.e., similarity modulus constraints well uniform power requirement among transmit...

This paper considers the detection of fluctuating targets via dynamic-programming-based track-before-detect (DP-TBD) in radar systems. Swerling types 0, 1, and 3 are considered. DP-TBD usually integrates either squared amplitude or logarithm envelope likelihood ratio (LELR) scoring functions. Thus, only information is taken into account regardless fact that measurements often complex valued. In this paper, phase used integration process to enhance performance. More precisely,...

Long time coherent integration (LTCI) technique enhances radar detection of maneuvering weak targets. Unfortunately, range migration (RM) and Doppler frequency (DFM) would occur during the period. Existing LTCI methods are all based on assumption that target is single motion model (i.e., target's fixed) long time. However, with increasing maneuverability observation (needed to detect targets), often changing multiple models) time, which reduce performance existing significantly. In this...

A distributed multiple-input multiple-output (MIMO) radar system is capable of tracking multiple targets under the "defocused transmit-focused receive" (DTFR) operating mode, in which each transmitter forms a completely defocused beam to illuminate whole surveillance region and receiver adopts focused attain higher resolution. However, when this there exists resource optimization problem on allocation receive-beams. To address problem, receive-beam (RBRA) strategy proposed paper. The key...

This paper addresses multi-agent multi-object tracking with labeled random finite sets via <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Generalized Covariance Intersection</i> (GCI) fusion. While standard GCI fusion of xmlns:xlink="http://www.w3.org/1999/xlink">Labeled Multi-Object</i> (LMO) densities is labelwise and hence fully parallelizable, previous work unfortunately revealed that its performance highly sensitive to the unavoidable label...

We consider the design of wideband multiple-input multiple-output (MIMO) radar waveforms to approximate a desired beampattern and achieve prescribed space-frequency nulling in region interest. A general model involving modulus, power, energy constraints on probing is introduced. To deal with resulting non-convex design, novel iterative algorithm low computational complexity proposed. In each iteration, approximated successively through series convex subproblems. Then, subproblem reformulated...

This article deals with the multiple-input–multiple-output (MIMO) radar beampattern design in an effort to coexistence multiple communication systems. A waveform optimization model accounting for minimization of integrated sidelobe level (ISL) along mainlobe width, peak-to-average power ratio, and energy constraints, as well multispectral requirements where interference injected by MIMO each shared frequency band a particular direction, is precisely controlled ensure desired quality service...

This paper considers the integrated waveform design to simultaneously achieve a desired radar beampattern and multi-users communication for dual-function Multiple-Input Multiple-Output (MIMO) system. To this end, spatio-spectral modulation strategy via shaping spatial Energy Spectral Density (ESD) in directions of is proposed function, while Integrated Sidelobe Level (ISL) minimized enhance detectability. Meanwhile, Peak-to-Average Ratio (PAR) power restrictions comply with current hardware...

Non-line-of-sight (NLOS) detection is an enduring topic as it provides a powerful tool to monitor visually blocked areas. Currently, the NLOS requires precise prior knowledge of building layout, which limits its further applications in practice. In this paper, we consider problem joint estimation layout and target location scenario by exploiting multipath returns. Specifically, first, simplified into combined linear equations with unknown parameters. way, establish parametrized propagation...

Abstract Laser-based light detection and ranging (LIDAR) offers a powerful tool to real-timely map spatial information with exceptional accuracy owns various applications from industrial manufacturing, remote sensing, airborne in-vehicle missions. Over the past two decades, rapid advancements of optical frequency combs have ushered in new era for LIDAR, promoting measurement precision quantum noise limited level. For comb LIDAR systems, further improve comprehensive performances reconcile...

This paper deals with the joint design of intra-inter agile pulses and Doppler filter banks to improve ambiguous target detectability in signal-dependent mainlobe clutter. Assuming that target's range frequency (RDF) belong an uncertainty set clutter knowledge is partially known, a robust processing procedure based on pulse compression matched proposed for echo non-uniform repetition interval (PRI). Then, worst-case signal-to-interference-plus-noise ratio (SINR) at output all receive filters...

Remote physiological signal measurement based on facial videos, also known as remote photoplethysmography (rPPG), involves predicting changes in vascular blood flow from videos. While most deep learning-based methods have achieved good results, they often struggle to balance performance across small and large-scale datasets due the inherent limitations of convolutional neural networks (CNNs) Transformer. In this paper, we introduce VidFormer, a novel end-to-end framework that integrates...

Particle filter (PF) based multi-target tracking (MTT) methods suffer from the curse of dimensionality. Existing strategies to combat this assume posterior independence between target states, in order then sample targets independently, or perform joint sampling closely spaced only. When many are proximity, these either poorly too computationally expensive. We make two contributions towards addressing limitations. Firstly, we advocate an alternative view use which emphasizes statistical...