Beamforming via Null Steering for ISAC Systems

Integrated sensing and communication (ISAC) is gaining attention as a core technology in the future sixthgeneration (6G) networks. As the same signal is used for both communication data transmission and sensing targets, the ISAC systems illuminate sensing targets with information-bearing signals, exposing the information to eavesdroppers. This necessitates joint waveforms and beamforming designs that support sensing accuracy while ensuring secure communication. This paper presents a closed-form null steering beamforming method that jointly supports communication, sensing and secrecy without iterative optimisation. The method steers energy towards both the sensing target and the communication user while placing a deep spatial null at the direction of an unintended receiver. To evaluate its performance, the method is compared with the zero-forcing (ZF) and genetic algorithm (GA) beamforming methods. Simulation results, including the resulting ISAC beam patterns, secrecy capacity, bit-error rate (BER), and probability of detection, are presented. The simulation results demonstrate that the proposed method achieves near-ZF performance and can achieve a trade-off between communication secrecy and sensing performance through a tunable trade-off parameter. It also achieves near-ideal null depths (> 70 dB), higher secrecy capacity, lower BER and improved target detection, compared to the GA benchmark. The proposed design provides a practical and low-complexity solution for real-time ISAC systems.

Authors

Publication Details

Journal
Explore Bristol Research
Published
2026-04-21
Primary Topic
Wireless Communication Security Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beamforming via Null Steering for ISAC Systems

Robert J. Piechocki, Angela Doufexi, Claire Serugunda
Explore Bristol Research
Wireless Communication Security Techniques
article

Beamforming via Null Steering for ISAC Systems

Robert J. Piechocki, Angela Doufexi, Claire Serugunda
article en

Abstract

Integrated sensing and communication (ISAC) is gaining attention as a core technology in the future sixthgeneration (6G) networks. As the same signal is used for both communication data transmission and sensing targets, the ISAC systems illuminate sensing targets with information-bearing signals, exposing the information to eavesdroppers. This necessitates joint waveforms and beamforming designs that support sensing accuracy while ensuring secure communication. This paper presents a closed-form null steering beamforming method that jointly supports communication, sensing and secrecy without iterative optimisation. The method steers energy towards both the sensing target and the communication user while placing a deep spatial null at the direction of an unintended receiver. To evaluate its performance, the method is compared with the zero-forcing (ZF) and genetic algorithm (GA) beamforming methods. Simulation results, including the resulting ISAC beam patterns, secrecy capacity, bit-error rate (BER), and probability of detection, are presented. The simulation results demonstrate that the proposed method achieves near-ZF performance and can achieve a trade-off between communication secrecy and sensing performance through a tunable trade-off parameter. It also achieves near-ideal null depths (> 70 dB), higher secrecy capacity, lower BER and improved target detection, compared to the GA benchmark. The proposed design provides a practical and low-complexity solution for real-time ISAC systems.

Explore Bristol Research
Openalex Percentile: Top 7%
Wireless Communication Security Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.