A method for detecting nonorthogonal ellipsoidal wave signals based on inter-signal cross terms

By extending signal detection to the time-frequency two-dimensional energy domain and utilizing the local features of signal cross terms for detection, the interference problem in the detection of non-orthogonal ellipsoidal wave signals is solved, and the bit error rate performance of the system is improved.

CN120017182BActive Publication Date: 2026-05-26NAVAL AVIATION UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NAVAL AVIATION UNIV
Filing Date
2025-01-15
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In the existing technology, the detection performance of non-orthogonal ellipsoidal wave signals is low, especially when PSWFs signals are no longer strictly orthogonal, resulting in severe interference between signals and affecting the system's bit error rate performance.

Method used

Signal detection is extended from a single energy domain in the time/frequency domain to a two-dimensional energy domain in the time and frequency domain. The local features of the cross terms between signals are used as detection statistics. Decision detection is performed by calculating the energy density value of the cross terms at the center frequency in the frequency domain, thereby reducing interference between non-orthogonal signals.

Benefits of technology

It effectively reduces interference between non-orthogonal PSWFs signals and improves the system's bit error rate performance. Especially under AWGN channel conditions, the system's bit error rate performance is improved by about 0.5dB compared to coherent detection methods.

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Abstract

This invention provides a method for detecting nonorthogonal ellipsoidal wave signals based on inter-signal cross terms, belonging to the field of information transmission technology. This invention extends signal detection from a single energy domain in the time / frequency domain to a two-dimensional energy domain of time and frequency, and utilizes the energy of local regions in the time and frequency domains for signal detection, effectively reducing interference between nonorthogonal signals and improving the detection performance of nonorthogonal PSWFs signals. Compared to coherent detection, the proposed method exhibits superior performance for detecting nonorthogonal PSWFs signals.
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