Coherent Radar Target Detection With In-Band Cyclostationary Wireless Interference

Srinath, Gunnery; Kumar, Hemantha; Srihari, Pathipati; Kirubarajan, Thiagalingam

doi:10.1109/access.2022.3144696

Cited by 5 publications

(2 citation statements)

References 57 publications

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“…Later, the effect of communication interference on the dynamic threshold detector at the joint radar-communication receiver is investigated in [18]. Recently, researchers in [19] studied the coherent detection of radar returns in the presence of in-band interference from cyclostationary modulated communication signals.…”

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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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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“…Radar sensor waveform design to maximize the mutual information (MI) with a constraint on both transmit power allocation and maximum target scattering response is illustrated in [21]. In addition to the above contributions, the RadCom also experienced the areas like detection and multi-target tracking in the presence of in-Band wireless interference [22], [23].…”

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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DFRC Signal Classification: The Power of Deep Learning vs The Simplicity of Traditional Signal Processing

Ramesh,

Adhikary,

Ashwini

et al. 2023

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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Coherent Radar Target Detection With In-Band Cyclostationary Wireless Interference

Cited by 5 publications

References 57 publications

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

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

Performance Analysis of Spectrum Sharing Radar in Multipath Environment

DFRC Signal Classification: The Power of Deep Learning vs The Simplicity of Traditional Signal Processing

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