Target Estimation Performance Improvement in Cooperative Radar and Communication system Spectrum Sharing

Srinath, Gunnery; Pardhasaradhi, Bethi; Kumar, Prashantha H; Srihari, Pathipati

doi:10.1109/icccnt51525.2021.9580023

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…To understand about efficient sharing of RF spectral resources and the RF convergence of radar and communication systems, it is necessary to have an idea regarding the performance limits of a cooperative spectrum sharing [3]. These performance bounds are also helpful in target estimation performance in a CRCS spectrum sharing environment [136]. However, the performance limits of both radar and communication systems rely on performance inner-bounds and dualfunctional (sensing and communication) waveforms [137].…”

Section: B Performance Limits Of Dual-functional Waveformsmentioning

confidence: 99%

A Survey on Waveform Design for Radar-Communication Convergence

Chakravarthi Mahipathi,

Pardhasaradhi,

Lingadevaru

et al. 2024

IEEE Access

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To provide service to an abundant number of communication users and to avoid the spectrum scarcity problem, many researchers are fascinated to work towards the convergence of radar sensing and communication systems. In addition, future intelligent systems like autonomous vehicles, Vehicleto-everything (V2X), Unmanned Aerial Vehicles (UAV), and all smart systems are going to implement both radar and communication systems on the same platform, which motivates the researchers to focus on the development of Joint Radar-Communication Systems (JRCS). Cooperative Radar-Communication System (CRCS) and Dual Functional Radar Communication (DFRC) systems provide an opportunity for communication users to utilize radar resources without disturbing radar operation. Waveform design is essential in the development of new models and designs related to joint radar-sensing and communication systems. A cooperative radar communication system uses separate waveforms for both radar and communication systems. Whereas the DFRC system uses the same waveform for both radar and communication operations. So to model both joint radar communication systems one should have a clear idea regarding waveform design and its approaches. Therefore, in this review paper, we focused on different waveform design approaches for modeling CRCS and DFRC systems. In addition, the prime objective of this review paper is to give a detailed view of the existing cooperative and dual-function waveform design approaches and provide a kick-start for new learners to work on this area.

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Section: B Performance Limits Of Dual-functional Waveformsmentioning

confidence: 99%

A Survey on Waveform Design for Radar-Communication Convergence

Chakravarthi Mahipathi,

Pardhasaradhi,

Lingadevaru

et al. 2024

IEEE Access

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“…In another communication, researchers in [34] present a systematic method based on waveform agile sensing aimed at improving the performance of benchmark target tracking in the presence of hefty interference. Later, researchers improved target estimation performance by exploiting the target returns from a communication transmitter, as documented in [35]. Recently, analysts analyzed radar target tracking performance for in-band communication interference within a joint radar-communication system, as outlined in [36].…”

Section: Introductionmentioning

confidence: 99%

Optimum Waveform Selection for Target State Estimation in the Joint Radar-Communication System

Mahipathi,

Pardhasaradhi,

Gunnery

et al. 2024

IEEE Open J. Signal Process.

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The widespread usage of the Radio Frequency (RF) spectrum for wireless and mobile communication systems generated a significant spectrum scarcity. The Joint Radar-Communication System (JRCS) provides a framework to simultaneously utilize the allocated radar spectrum for sensing and communication purposes. Generally, a Successive Interference Cancellation (SIC) based receiver is applied to mitigate mutual interference in the JRCS configuration. However, this SIC receiver model introduces a communication residual component. In response to this issue, the paper presents a novel measurement model based on communication residual components for various radar waveforms. The radar system's performance within the JRCS framework is then evaluated using the Fisher Information Matrix (FIM). The radar waveforms considered in this investigation are rectangular pulse, triangular pulse, Gaussian pulse, Linear Frequency Modulated (LFM) pulse, LFM-Gaussian pulse, and Non-Linear Frequency Modulated (NLFM) pulse. After that, the Kalman filter is deployed to estimate the target kinematics (range and range rate) of a single linearly moving target for different waveforms. Additionally, range and range rate estimation errors are quantified using the Root Mean Square Error (RMSE) metric. Furthermore, the Posterior Cramer-Rao Lower Bound (PCRLB) is derived to validate the estimation accuracy of various waveforms. The simulation results show that the range and range rate estimation errors are within the PCRLB limit at all time instants for all the designated waveforms. The results further reveal that the NLFM pulse waveform provides improved range and range rate error performance compared to all other waveforms.

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“…In the form of communication information rate and the novel radar estimation rate, the authors in [34] have formulated the inner bounds on the performance of radar and communication system spectrum sharing. The target estimation performance improvement in cooperative radar and communication system spectrum sharing presented in [35]. Furthermore, in [36], the performance is evaluated in the form of a localization estimation rate and communication data rate by considering the three different cases (isolated sub-band (ISB), communication isolated sub-band (CIB), and radar isolated sub-band (RIB) situation).…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Spectrum Sharing Radar in Multipath Environment

Srinath¹,

Pardhasaradhi²,

Mahipathi

et al. 2023

IEEE Open J. Commun. Soc.

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Radar based sensing and communication systems sharing a common spectrum have become a potential research problem in recent years due to spectrum scarcity. The spectrum sharing radar (SSR) is a new technology that uses the total available bandwidth (BW) for both radar based sensing and communication. Unlike traditional radar, the SSR divides the total available BW into radar-only and mixeduse bands. In a radar-only band, only radar sensor signals can be transmitted and received. In contrast, radar and communication signals can both be transmitted and received in the mixed-use band. Taking such BW sharing into account, this paper investigates the performance of SSR in an information-theoretic sense. To evaluate performance, mutual information (MI), spectral efficiency (SE) and capacity (C) metrics are used. Initially, this paper considered a clean environment (no multipath) in order to evaluate performance metrics in the mixed-use band with and without successive interference cancellation. Following that, this paper addresses the performance of BW allocation by allocating low to high BW in mixed-band. Furthermore, the performance metrics are extended to account for the multipath environment, and the same analogy as in a clean environment is used. In addition, the MI and SE of traditional radar system is taken into account when comparing the performance of SSR with and without the use of the SIC. Finally, MI and capacity results show that using the SIC scheme in a mixed-use band yields performance comparable to traditional radar and communication system. In terms of SE, the SSR with SIC scheme outperforms traditional radar and communication system.

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Target Estimation Performance Improvement in Cooperative Radar and Communication system Spectrum Sharing

Cited by 3 publications

References 11 publications

A Survey on Waveform Design for Radar-Communication Convergence

A Survey on Waveform Design for Radar-Communication Convergence

Optimum Waveform Selection for Target State Estimation in the Joint Radar-Communication System

Performance Analysis of Spectrum Sharing Radar in Multipath Environment

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