Beamforming optimization for ISAC interference suppression via range-domain design in mixed near/far-field scenarios

Abstract Conventional far-field, angle-only ISAC beamforming cannot separate communication users from sensing targets that share the same angular sector. This paper introduces a range-domain interference-suppression principle for hybrid near/far-field ISAC, exploiting the asymmetry that near-field beams focus in both range and angle (2D) while far-field beams focus only in angle (1D). On this basis, we derive a bi-directional mixed near/far-field SINR model with range-dependent steering vectors absent from conventional formulations, and prove, via a closed-form single-user analysis, a wavefront-curvature-mismatch effect: under full angular overlap, range-induced channel decorrelation yields an interference-suppression gain that scales with array aperture and inverse user range, opening a new spatial degree of freedom unavailable in pure far- or near-field designs. The resulting non-convex sum-rate problem is solved by an SOCP-based WMMSE–SCA procedure with guaranteed KKT-point convergence. At SNR $$ = 10$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>=</mml:mo> <mml:mn>10</mml:mn> </mml:mrow> </mml:math> dB the proposed scheme attains 9.0 bps/Hz, surpassing MRT and Random baselines by about $$60\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>60</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> and $$108\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>108</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> under the 8 dB per-user and 25 dB radar SINR constraints, with the advantage robust across system parameters.

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Publication Details

Journal
Complex & Intelligent Systems
Published
2026-07-17
DOI
https://doi.org/10.1007/s40747-026-02384-3
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Beamforming optimization for ISAC interference suppression via range-domain design in mixed near/far-field scenarios

Freddy Y. P. Feng, L Lin-Lin Chen, Suk Chan Kim, Fan Liu et al.
Complex & Intelligent Systems
Radar Systems and Signal Processing
article

Beamforming optimization for ISAC interference suppression via range-domain design in mixed near/far-field scenarios

Freddy Y. P. Feng, L Lin-Lin Chen, Suk Chan Kim, Fan Liu, Dong Chan Park, Pei Xiao
article en

Abstract

Abstract Conventional far-field, angle-only ISAC beamforming cannot separate communication users from sensing targets that share the same angular sector. This paper introduces a range-domain interference-suppression principle for hybrid near/far-field ISAC, exploiting the asymmetry that near-field beams focus in both range and angle (2D) while far-field beams focus only in angle (1D). On this basis, we derive a bi-directional mixed near/far-field SINR model with range-dependent steering vectors absent from conventional formulations, and prove, via a closed-form single-user analysis, a wavefront-curvature-mismatch effect: under full angular overlap, range-induced channel decorrelation yields an interference-suppression gain that scales with array aperture and inverse user range, opening a new spatial degree of freedom unavailable in pure far- or near-field designs. The resulting non-convex sum-rate problem is solved by an SOCP-based WMMSE–SCA procedure with guaranteed KKT-point convergence. At SNR $$ = 10$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>=</mml:mo> <mml:mn>10</mml:mn> </mml:mrow> </mml:math> dB the proposed scheme attains 9.0 bps/Hz, surpassing MRT and Random baselines by about $$60\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>60</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> and $$108\%$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>108</mml:mn> <mml:mo>%</mml:mo> </mml:mrow> </mml:math> under the 8 dB per-user and 25 dB radar SINR constraints, with the advantage robust across system parameters.

Complex & Intelligent Systems
Shenzhen Institute of Information Technology (CN), Korea Maritime and Ocean University (KR), Southern University of Science and Technology (CN), Centre for Systems Philosophy (GB), Pusan National University (KR)
Science, Technology and Innovation Commission of Shenzhen Municipality, Guangzhou Science and Technology Innovation Center
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Radar Systems and Signal Processing
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