The proceedings contain 86 papers. The topics discussed include: sparse array and precoding design for integrated sensing and communications systems;geometry-aided near-field MIMO communications via forward-backward b...
ISBN:
(纸本)9798350344813
The proceedings contain 86 papers. The topics discussed include: sparse array and precoding design for integrated sensing and communications systems;geometry-aided near-field MIMO communications via forward-backward beamformer training;a decentralized asynchronous optimization algorithm with an application to phase retrieval;DynaPA: dynamic power allocation for improved exploration-exploitation in active sensing;receiver antenna allocation for joint sensing and communications;labeling sequential data from noisy annotations;calibration of polarimetric antenna arrays using neural networks;variable selection for Max-Affine regression via sparse gradient descent;experimental evaluation of a null-steered performance weighted blended beamformer;and distributed sparse subspace clustering by k-means subspace fusion.
The proceedings contain 94 papers. The topics discussed include: federated channel learning for intelligent reflecting surfaces with fewer pilot signals;statistical analyses of measured forward-looking sonar echo data...
ISBN:
(纸本)9781665406338
The proceedings contain 94 papers. The topics discussed include: federated channel learning for intelligent reflecting surfaces with fewer pilot signals;statistical analyses of measured forward-looking sonar echo data in a shallow water environment;passive angle-doppler profile estimation for narrowband digitally modulated wireless signals;dynamic TDD enabled distributed antenna array massive MIMO system;joint source enumeration and direction finding without eigendecomposition for satellite navigation receiver;sparse signal recovery using a binary program;gradient-descent adaptive filtering using gradient adaptive step-size;non-coherent source localization with distributed sensorarray networks;and joint location and channel error optimization for beamforming design for multi-RIS assisted MIMO system.
In this paper, we propose high-resolution target direction-of-arrival (DOA) estimation using frequency-switching sparse arrays which implement multi-frequency sparse arrays in a low-complexity manner. Unlike multi-fre...
详细信息
ISBN:
(纸本)9798350344820;9798350344813
In this paper, we propose high-resolution target direction-of-arrival (DOA) estimation using frequency-switching sparse arrays which implement multi-frequency sparse arrays in a low-complexity manner. Unlike multi-frequency sparse arrays which require processing of wideband signals comprising multiple frequency components, the proposed frequency-switching sparse arrays only need to process a single-frequency component at any time instant, thereby eliminating such hurdles and significantly reducing the system complexity. A frequency-switching sparse array achieves the same number of degrees-of-freedom as a multi-frequency counterpart with comparable DOA estimation performance. Numerical results on the DOA estimation performance and Cramer-Rao bounds are provided to illustrate the effectiveness of the proposed frequency-switching sparse arrays.
Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize the Grassmann manifold - the set of ...
详细信息
ISBN:
(纸本)9798350344820;9798350344813
Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize the Grassmann manifold - the set of linear subspaces of a high-dimensional vector space. We design regularized least squares algorithms based on common manifold operations and intuitive dynamical models. We demonstrate the efficacy of the approach for a narrowband beamforming scenario, where the dynamics of multiple signals of interest are captured by motion on the Grassmannian.
In this paper, we develop a scheme to partition a one- or multi-dimensional consecutive integer number set into multiple identical, possibly rotated, subsets. The proposed technique first exploits one-dimensional nest...
详细信息
ISBN:
(纸本)9798350344820;9798350344813
In this paper, we develop a scheme to partition a one- or multi-dimensional consecutive integer number set into multiple identical, possibly rotated, subsets. The proposed technique first exploits one-dimensional nested subsets, and the results are extended to achieve two- and multi-subset partitioning as well as in two- and multi-dimensional spaces. The number of consecutive lags in each case is examined. The results are useful to various sensing and communication applications, and sparse step-frequency waveform design for range estimation in automotive radar is demonstrated as an example.
Source localization from raw array data by reparameterizing the array steering vector by the source position is a fundamental principle of direct position determination (DPD). In this paper, we propose a DPD method to...
详细信息
ISBN:
(纸本)9798350344820;9798350344813
Source localization from raw array data by reparameterizing the array steering vector by the source position is a fundamental principle of direct position determination (DPD). In this paper, we propose a DPD method to estimate the position of locally scattered sources using an unsynchronized arraysensor network. Here, we use the well-known generalized array manifold (GAM) model which approximates the steering vector using its first-order gradient in order to characterize the local scattering effect. The proposed method is compared with the conventional two-stage bearings-only localization (BOL) approach. Simulation results reveal that the proposed DPD position estimates asymptotically attain the derived Cramier-Rao Bound (CRB) for high SNR values and an improved localization accuracy is achieved by exploiting the local scattering parameters in the localization.
In this paper, we explore the use of large-scale sparse arrays for pilot placement in pilot-based sensing within integrated sensing and communication (ISAC) systems. Unlike conventional regular pilot placement method,...
详细信息
ISBN:
(纸本)9798350344820;9798350344813
In this paper, we explore the use of large-scale sparse arrays for pilot placement in pilot-based sensing within integrated sensing and communication (ISAC) systems. Unlike conventional regular pilot placement method, sparse placement offers a significant reduction in overhead while maintaining high sensing performance. We present a novel large-scale sparse array construction method by introducing a multi-tier array structure. Using the proposed method, the design of large-scale sparse arrays can be simplified into several smaller-sized array design problems, significantly reducing computational complexity and storage requirements. Numerical examples demonstrate the effectiveness of the proposed method for low-overhead sensing pilot placement design, which is applicable in future 6G applications.
This paper addresses the problem of calibration for antenna arrays with multi-port polarimetric elements. Model-based arraysignalprocessing techniques require an accurate model of the complex array response and mode...
详细信息
ISBN:
(纸本)9798350344820;9798350344813
This paper addresses the problem of calibration for antenna arrays with multi-port polarimetric elements. Model-based arraysignalprocessing techniques require an accurate model of the complex array response and model errors can, for example, cause significant systematic direction finding errors. Modeling the response of polarimetric antenna arrays can be particularly challenging due to cross-polarization and mutual coupling effects in the multi-port antenna elements. This work proposes a new calibration technique for polarimetric antenna arrays using neural networks that learn any mismatches between the modeled and the actual array response. The technique is evaluated based on the measured response of a five-element dual-polarized antenna array and outperforms conventional calibration techniques like mutual coupling calibration or local polynomial approximation. Its performance is studied exemplarily for the direction finding problem.
Spatial frequency estimation from a superposition of impinging waveforms in the presence of noise is important in many applications. While subspace-based methods offer high-resolution parameter estimation at a low com...
详细信息
ISBN:
(纸本)9798350344820;9798350344813
Spatial frequency estimation from a superposition of impinging waveforms in the presence of noise is important in many applications. While subspace-based methods offer high-resolution parameter estimation at a low computational cost, they heavily rely on precise array calibration with a synchronized clock, posing challenges for large distributed antenna arrays. In this study, we focus on direction-of-arrival (DoA) estimation within sparse partly calibrated rectangular arrays. These arrays consist of multiple perfectly calibrated subarrays with unknown phase-offsets among them. We present a gridless sparse formulation for DoA estimation leveraging the multiple shift-invariance properties in the partly calibrated array. Additionally, an efficient blind calibration technique is proposed based on semidefinite relaxation to estimate the intersubarray phase-offsets accurately.
We describe the problem of joint sensing and communications (JSAC) using an antenna array where some antennas are used for sensing and some others for communications. The problem is to jointly optimize the sensing and...
详细信息
ISBN:
(纸本)9798350344820;9798350344813
We describe the problem of joint sensing and communications (JSAC) using an antenna array where some antennas are used for sensing and some others for communications. The problem is to jointly optimize the sensing and communications performance at the receive side through respectively the CramerRao bound (CRB) on the source angles and the variance of the sources after applying a minimum variance distortionless response (MVDR) beamformer. Both criteria are derived under a two-source scenario and optimized for any position of the two sources. Here one of the sources is considered the source of interest, while the other one models the interference. The performance criteria for sensing and communications are mathematically similar and depend only on the angular difference between the two sources. As a result, they can be elegantly combined and jointly optimized. Our findings are corroborated by simulations under different parameter settings.
暂无评论