This paper is focused on the design of phase sequences with good (aperiodic) autocorrelation properties in terms peak sidelobe level and integrated level. The problem formulated as a biobjective Pareto optimization forcing either continuous or discrete constraint at stage. An iterative procedure based coordinate descent method introduced to deal resulting problems that are nonconvex NP-hard general. Each iteration devised requires solution min-max problem. It handled through novel bisection...

In this paper, we aim at designing sets of binary sequences with good aperiodic/periodic auto- and cross-correlation functions for multiple-input multiple-output (MIMO) radar systems. We show that such a set can be obtained by minimizing weighted sum peak sidelobe level (PSL) integrated (ISL) the element constraint design stage. The designed are neighboring lower bound on ISL have better PSL than best-known structured sequences. To formulate problem, introduce Pareto-objective establishing...

Abstract Vital sign monitoring systems are essential in the care of hospitalized neonates. Due to immaturity their organs and immune system, premature infants require continuous vital parameters sensors need be directly attached fragile skin. Besides mobility restrictions stress, these often cause skin irritation may lead pressure necrosis. In this work, we show that a contactless radar-based approach is viable for breathing Neonatal intensive unit (NICU). For first time, different scenarios...

Extreme crowding of electromagnetic spectrum in recent years has led to the challenges designing sensing and communications systems. Both systems require a broad range bandwidth, thus resulting competing interests exploiting spectrum. Efficient hardware utilization have emergence integrated (ISAC) systems, which recently emerged as candidate 6G technology. In particular, we provide potential techniques, namely opportunistic ISAC optimized ISAC. Rate-splitting multiple access (RSMA) is...

This paper aims to design a set of transmitting waveforms in cognitive colocated Multi-Input Multi-Output (MIMO) radar systems considering the simultaneous minimization spatial- and range- Integrated Sidelobe Level Ratio (ISLR). The problem is formulated as bi-objective Pareto optimization under practical constraints on waveforms, namely total transmit power, peak-to-average-power ratio (PAR), constant modulus, discrete phase alphabet. A Coordinate Descent (CD) based approach proposed, which...

This paper focuses on optimal time-of-arrival (TOA) sensor placement for multiple target localization simultaneously. In previous work, different solutions only using non-shared sensors to localize targets have been developed. Those methods one-by-one or use a large number of mobile with many limitations, such as low effectiveness and high network complexity. this paper, firstly, novel optimization model multi-target incorporating shared is formulated. Secondly, the systematic theoretical...

The need for cognitive radar systems that automatically adapt their transmit waveform and receive processing to the environment is growing along with desire integrating communications. Indeed, radio frequency spectrum will continue become more crowded, in this context, new generation of require sense band avoid making interference other systems, like In paper, we present a spectrum-sharing prototype demonstrates application optimization scenario coexistence between communications systems. To...

Designing unimodular waveforms with a desired beampattern, spectral occupancy and orthogonality level is of vital importance in the next generation Multiple-Input Multiple-Output (MIMO) radar systems. Motivated by this fact, paper, we propose framework for shaping beampattern MIMO systems under constraints simultaneously ensuring unimodularity, designed waveform. In manner, proposed most comprehensive approach waveform design focusing on shaping. The problem formulation leads to non-convex...

The problem of transmit code design in multiple-input multiple-output (MIMO) radar systems is addressed this paper. considered both colocated and widely separated antenna radars the presence signal-dependent interference target mobility. Due to complexity exact expressions optimal detector MIMO radars, information theoretic criteria are employed as metrics which results a general form nonconvex optimization problems. In order tackle problem, novel technique based on minorization-maximization...

We consider the problem of designing discrete-phase transmit waveform for multiple-input-multiple-output (MIMO) radar to enable its coexistence with MIMO communications. The signal reflected from target is contaminated noise, clutter, and interfering communications base station. jointly design corresponding receive filter in order maximize signal-to-interference-plus-noise-ratio constant rate constraint. In general, this NP-hard, multi-variable, non-convex. Contrary prior works, we tackle by...

Unified waveform design for automotive joint radar-communications (JRC) leverages the scarce spectrum efficiently and has become a key topic investigation of late. Designing such necessitates meeting requirements both systems, thereby making it challenging task. The contribution this paper is to formulate JRC problem into an optimization propose algorithm maximize signal-to-clutter-plus-noise-ratio (SCNR) radar system signal-to-noise-ratio (SNR) at communicating vehicle, simultaneously....

The meteorological industry is currently exploring Solid State Weather Radar (SSWR) systems, a new technology that emits minimal transmission power, to minimize harm the environment and reduce system cost. However, accurately estimating reflectivity for each polarization decreasing blind range present significant challenges SSWR systems use pulse compression. In these transmit waveforms receive filters play crucial role in enhancing estimation accuracy, while implementing partial correlation...

The respiratory and heart rates are critical physiological parameters, conventional contact-based monitoring techniques may cause discomfort epidermal damage, being therefore inadequate for long-term monitoring. Despite recent advances, accurate contactless vital sign is still challenging in practical scenarios, especially relation to rate estimation. In this work, we propose a comprehensive framework processing frequency-modulated continuous-wave radar systems evaluate its performance with...

High-resolution FMCW radar systems are becoming an integral aspect of applications ranging from automotive safety and autonomous driving to health monitoring infants the elderly. This integration provides challenging scenarios that require radars with extremely high dynamic range (HDR) ADCs; these ADCs need avoid saturation while offering high-performance high-fidelity data-acquisition. The recent concept Unlimited Sensing allows one achieve acquisition by recording low range, modulo...

In this letter, we aim to design set of discrete phase sequences and the corresponding space-time mismatched filter for a moving target obtain good correlation properties, imposing Signal-to-Interference-plus-Noise Ratio (SINR) alphabet as constraints. To find optimized solution obtained multi-objective non-differentiable highly non-convex optimization problem, use Coordinate Descent (CD) framework. Precisely, iteratively optimize transmit waveform received filter, ensuring enhancement on...

Dynamic target detection using linear frequency modulation (LFM) waveform is challenging in the presence of interference for different radar applications. Degradation signal-to-noise ratio irreparable, and difficult to mitigate time domains. In this article, a design problem addressed majorization–minimization framework by considering peak sidelobe level (PSL)/integrated (ISL) cost functions, resulting code sequence with Doppler-tolerant characteristics an LFM interference-immune tailored...

Multiple-input multiple-output (MIMO) radars transmit a set of sequences that exhibit small cross-correlation sidelobes, to enhance sensing performance by separating them at the matched filter outputs. The waveforms also require auto-correlation sidelobes avoid masking weak targets range strong and mitigate deleterious effects distributed clutter. In light these requirements, in this paper, we design phase-only (constant modulus) near-optimal properties terms Peak Sidelobe Level (PSL)...

In this paper the long standing major challenge of designing binary sequences with good (aperiodic) autocorrelation properties in terms Peak Sidelobe Level (PSL) and Integrated (ISL) is considered. The problem formulated as a bi-objective Pareto optimization forcing constraint at design stage. An iterative novel FFT-based approach exploiting coordinate descent method devised to deal resulting which non-convex NP-hard general. Simulation results illustrate that proposed algorithm can...

Single waveform design for automotivejoint radar-communications (JRC) is being increasingly considered of late. This paper formulates the JRC as an optimization problem exploiting co-location two systems and investigates trade-off between them. We propose algorithm to maximize performance communication radar receivers (e.g., BER probability detection, respectively). intractable decomposed into subproblems, which are subsequently solved in succession through a combination gradient projection...

In this paper, we aim at designing set of unimodular sequences with very small Integrated Sidelobe Level (ISL) values that are close to the available lower bound on ISL. The designed in applicable Code-Division-Multiplexing Multiple Input Output (CDM-MIMO) radar systems which attractive for emerging applications automotive. resulting problem is formulated as a constrained optimization, whereby use Coordinate Descent (CD) framework tackle it, iteratively. Numerical examples provided...

This paper focuses on designing a set of transmit sequences for coexisting cognitive Multiple-Input Multiple-Output (MIMO) radar and MIMO communications (MRMC) systems. The aim is to shape the beampattern minimize spatial Integrated Side-lobe Level (ISL) while having good response desired direction in paradigm. resulting non-convex, multi-variable optimization problem sequence design addressed using proposed Coordinate Descent (CD) framework under constant modulus discrete phase constraints....