In this paper, two optimal resource allocation schemes are developed for asynchronous multiple targets tracking (MTT) in heterogeneous radar networks. The key idea of (HRA) is to coordinate the transmit (transmit power, dwell time, etc.) different types radars achieve a better utilization efficiency. We use Bayesian Cramér-Rao lower bound (BCRLB) as metric function quantify target performance and build following HRA schemes: For given system budget: (1) Minimize total consumption BCRLB...

In this paper, a joint beam selection and power allocation (JBSPA) strategy is developed for multiple target tracking in netted colocated multiple-input multiple-output radar system. Each network adopts multibeam working mode, which simultaneous transmit beams are synthesized. The basis of the JBSPA to use optimization technique control limited resource each order achieve accurate state estimation. Bayesian Cramér-Rao lower bound derived, normalized, subsequently utilized, as criterion...

In this paper, a target capacity based resource optimization (TC-RO) scheme is developed for multiple tracking (MTT) application in radar networks. The key idea of to coordinate the transmit power and dell time usage radars order increase number targets that can be tracked with predetermined accuracy requirements. We adopt Bayesian Cramér-Rao lower bound as metric function quantify MTT accuracies, build TC-RO non-smooth non-convex problem. To deal problem, we design an efficient three-step...

Taking into account the probabilistic uncertainty on target radar cross section (RCS) parameter, a robust chance constrained power allocation (RCC-PA) scheme is presented for multiple localization in colocated multiple-input multiple-output system. Such system adopts multibeam working mode, which simultaneous transmit beams are synthesized to illuminate targets independently. We formulate RCC-PA problem programming model, where total consumption of minimized meet specified multitarget...

In this paper, a joint threshold adjustment and power allocation (JTAPA) algorithm is developed for target tracking in asynchronous radar network (ARN). The basis of the JTAPA strategy to feed back track information from fusion center local sites enhance both detection capability resource utilization efficiency ARN. For detector, we develop (TA) better performance, based on predicted location fed center. transmitter, build an (APA) model perceptual information, use optimization technique...

In this article, a quality of service constrained-resource allocation (QoSC-RA) scheme is built for multiple target tracking (MTT) in radar sensor network. This QoSC-RA can not only divide sensors into several groups to illuminate targets separately but also optimize the transmit resource different groups. such case, we minimize total consumption network while achieving desired MTT accuracy. The formulated as mathematical optimization problem and shown possess two sets conflict constraints...

To facilitate the ability of phased array radar to manage both its search and track (SAT) tasks simultaneously within a predetermined illumination time budget, resource allocation (RA) scheme for integrated SAT application is built in this paper. We formulate RA as bi-objective constrained optimization framework, use Pareto's theory determine multiple Pareto optimal solutions. With these solutions, one can find suitable tradeoff between tasks, correspondingly choose an scheme, arbitrary...

Radio map estimation (RME), also known as spectrum cartography, aims to reconstruct the strength of radio interference across different domains (e.g., space and frequency) from sparsely sampled measurements. To tackle this typical inverse problem, state-of-the-art RME methods rely on handcrafted or data-driven structural information maps. However, former often struggles model complex frequency (RF) environments latter requires excessive training -- making it hard quickly adapt in situ...

In this article, a composed resource optimization (CRO) scheme is developed for an active and passive radar network engaged in multiple target tracking (MTT). The motivation of the CRO to collaboratively optimize transmit resources radars, as well receiving processing improve overall MTT performance. We utilize predicted conditional Cramér–Rao lower bound evaluate impact allocation strategies on performance formulate mixed-integer nonlinear program problem since adaptable parameters w.r.t....

Waveform optimization is a crucial step in the design of multiple-input multiple-output system. This letter considers joint constant modulus waveforms and mismatched (or matched) receive filters to suppress auto- cross correlations using minimax ( $\ell _{\infty }$ -norm) criterion. For practical waveform length system size, problem becomes quite challenging due large size (more than $10^5$ unimodular complex variables $10^7$ nonlinear constraints). In addition this nonconvex, nonsmooth, as...

This paper proposes a joint deployment optimization method for integrated search and tracking (ISAT) tasks in netted radar systems. The bi-objective model is developed with the aim to improve performance of two by optimizing positions radars. first objective function aims maximize sensing area task. second minimize weighted sum localization errors w.r.t. multiple sampling points when task simulated localizing some from potential trajectory this paper. A modified Non-dominated Sorting Genetic...

Traditional adaptive binaural beamforming algorithms for hearing devices often assume that the target talker is known or can be derived from listener's look direction. When this assumption violated, traditional produce distorted speech and less than optimal noise interference suppression. Recent advances in electroencephalography (EEG) its applications to auditory attention decoding have offered a potential solution tracking listeners multi-talker environment [2]-[5]. In paper, we propose...

In this article, two adaptive channel assignment (CA) schemes are proposed for maneuvering target tracking (MTT) in multistatic passive radar. For a predetermined total number of channels w.r.t. each receiver, the first scheme selects $Q$ to achieve highest MTT accuracy, and second minimizes while guaranteeing required performance. By utilizing best-fitting Gaussian approximation, we derive predicted conditional Cramér–Rao lower bound evaluate impact CA on performance, formulate as convex...

A well known challenge in linearly-constrained beamforming is how to suppress multiple interferences when the degrees of freedom (DoF) provided by array are fewer than number sources environment. In this paper, we propose a beamformer design address challenge. Specifically, min-max beam-former that penalizes spatial responses on all interferences' directions. The new can efficiently mitigate total interference power regardless whether interfering less DoF or not. We formulate as convex...

Beamforming algorithms in binaural hearing aids are crucial to improve speech understanding background noise for impaired persons. In this study, we compare and evaluate the performance of two recently proposed minimum variance (MV) beamforming approaches aids. The linearly constrained MV (BLCMV) beamformer applies linear constraints maintain target source mitigate interfering sources, taking into account reverberant nature sound propagation. inequality (ICMV) utilizing estimates direction...

An important step in multi-sensor data fusion is sensor registration, namely, to estimate sensors' range and azimuth biases from their asynchronous measurements. Assuming the target moves a straight line with an unknown constant velocity, we propose two-stage nonlinear least square (LS) approach this problem. More specifically, stage I, each first estimates its own bias individually, then II, all sensors jointly biases. We show that both of nonconvex LS problems can be solved global...

A large size phased array is a powerful system for surveillance, but must be appropriately decomposed as subarrays efficient digital beamforming. One fundamental question how to configure satisfy various signal processing requirements. This work deals with two basic tasks, synthesizing multiple beams at subarray level and adaptively suppressing interferences. Two optimization criteria jointly design configuration weights are proposed. To handle the number of variables in formulations, we...

Beamforming is a common technique used to improve speech intelligibility and listening comfort of hearing aids users in noisy environment. Traditional beamforming algorithms such as linearly constrained minimum variance (LCMV) beamformer cannot effectively suppress multiple interferences when the degree freedom (DoF) array less than number sources In [1], penalized inequality-constrained (P-ICMV) was proposed address this challenge. study, we evaluate P-ICMV compare its performance with...

A fundamental problem in cognitive radio is spectrum sensing, which detects the presence of primary users a licensed spectrum. To boost detection performance and robustness, multiantenna detector has been investigated various related methods have developed, e.g., energy detector, eigenvalue arithmetic-to-geometric mean generalized likelihood ratio test detector. Cooperative makes use multiple receivers distributed different locations, advantage being able to make full antennas enjoy high...

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