5G Network-Based Passive Radar

Samczyński, Piotr; Abratkiewicz, Karol; Płotka, Marek; Zieliński, Tomasz P.; Wszołek, Jacek; Hausman, Sławomir; Korbel, Piotr; Ksiezyk, Adam

doi:10.1109/tgrs.2021.3137904

Cited by 56 publications

(37 citation statements)

References 26 publications

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“…Considering the energy efficiency, RS density and power allocation between pilots and data symbols were optimized to minimize the total transmission power, while satisfying the communication and radar sensing requirements. In [7], the 5G network was utilised to serve as the illumination source for passive bi-static radar to detect the target, which verifies the possibility of 5G-based passive bi-static radar. In [8], the base station (BS) was deployed as a monostatic sensor to estimate the targets' ranges, speeds, and directions of arrival (DoAs) via beam scanning.…”

Section: Introductionmentioning

confidence: 78%

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Joint Resource Allocation and User Association for Multi-Cell Integrated Sensing and Communication Systems

Zhang

Fei

Wang

et al. 2022

Preprint

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The densification of the orthogonal frequency division multiplexing (OFDM) based fifth-generation (5G) communication systems, as well as integrating sensing and communication functionalities, have promoted the development of integrated-sensing-and-communication (ISAC) dense cellular networks (DCNs). In the OFDM-based ISAC-DCN, multiple base stations simultaneously serve mobile users and sense targets based on the echo of downlink (DL) communication signals. In this paper, focusing on the interference management of the ISAC-DCN, we investigate the multi-dimension resource allocation problem. In particular, we aim at maximizing the network utility by jointly optimizing sub-band allocation, user association, and transmission power under the sensing signal-to-interference-plus-noise ratio (SINR) constraint. The problem is decomposed into three sub-problems. Subsequently, we propose a greedy genetic algorithm (GRGA) to solve the sub-band allocation sub-problem, and the Hungarian algorithm and successive convex approximation (SCA) technique are employed to execute user association and transmission power control, respectively. Simulation results show that the proposed algorithm significantly improves the network utility, achieves higher detection probability and illustrates the trade-off between sensing and communication performances.

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Section: Introductionmentioning

confidence: 78%

“…Motivated by the aforementioned advantages, some works have investigated ISAC design in the framework of 5G NR systems [5,6,7,8,9,10]. In [5], the self-ambiguity and cross-ambiguity functions of several synchronization signals and reference sig-nals (RSs) in OFDM waveform were analyzed.…”

Section: Introductionmentioning

confidence: 99%

Joint Resource Allocation and User Association for Multi-Cell Integrated Sensing and Communication Systems

Zhang

Fei

Wang

et al. 2022

Preprint

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“…A single frame has a length 𝑇 f equal to 10 ms, and each frame consists of ten subframes with a length 𝑇 sf of 1 ms. Each subframe consists of multiple slots. When the subcarrier spacing is set to 15/30/60/120 kHz, the number of slots in a subframe is 1/2/4/8, and the corresponding time for a slot is 1/0.5/0.25/0.125 ms. Further, each slot consists of 14 OFDM symbols [13], [14]. The 5G NR frame structure is as shown in figure 1.…”

Section: G Nr Waveformmentioning

confidence: 99%

Analysis of 5G Signal for Radar Application

Liu

Lyu

Fan

2022

J. Phys.: Conf. Ser.

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In this paper we evaluate the fifth generation (5G) communication signal from the perspective of radar sensing. The passive radars exploit the third-part transmitted signals in the space as the illuminators of opportunity (IoO), and has gained renewed interest. The 5G signal has large bandwidth and advanced modulation technique, offering great potential for radar uses. This paper takes an analysis of the 5G signal from the perspective of radar sensing. We provide a detailed description of the 5G signal protocol, and evaluate the detection capability of the 5G signal based passive radar in terms of bistatic range resolution, range resolution, the signal to noise ratio distribution. Furthermore, we introduce a signal processing method that may be a candidate for target sensing in the 5G signal based passive radar. Simulation verifies the effectiveness of this method.

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“…Nevertheless, a PCL formulation consisting of TDOA measurements associated with multiple TXs and RXs is also possible. Current systems as 5G NR (New Radio) technology, with massive multiple-input and multipleoutput (MIMO) and flexible frequency access, expect to use a dynamic location scenario that takes advantage of multiple TXs and RXs with low latency and high reliability [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

TDOA Data Selection for Accurate Passive Coherent Location

RODRIGUEZ¹,

Martins²,

Apolinario³

et al. 2022

Preprint

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<p>This paper addresses the problem of selecting suitable time difference of arrival (TDOA) measurements for passive coherent location with multiple-transmitters/receivers. Firstly, we propose a unified mathematical framework for the following target location algorithms: spherical interpolation (SI), spherical intersection (SX), and nonlinearly constrained least squares (NLCLS). This paper generalizes the currently available models for scenarios with multiple-transmitters/one-receiver and one-transmitter/multiple-receivers. The SI/SX algorithms use closed-form expressions to tackle the location problem without considering all the nonlinear relationships among the optimization variables. As for the NLCLS algorithm, such nonlinearities are taken into account with the help of nonlinear constraints. Effects like multipath propagation and shadow fading increase TDOA measurement values resulting in outliers. To remove the outliers, we propose three TDOA selection processes. The first one uses a simple comparison rule. The second approach iteratively detects outliers based on cost function comparisons. The last approach divides the search region into cuboids. The cuboid-based approach separates consistent TDOAs from outliers, and its centroid represents a new location estimate. The numerical experiments show that the proposed cuboid-based method has greater robustness when increasing the probability of outliers.</p>

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5G Network-Based Passive Radar

Cited by 56 publications

References 26 publications

Joint Resource Allocation and User Association for Multi-Cell Integrated Sensing and Communication Systems

Joint Resource Allocation and User Association for Multi-Cell Integrated Sensing and Communication Systems

Analysis of 5G Signal for Radar Application

TDOA Data Selection for Accurate Passive Coherent Location

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