Clutter-Masked Waveform Design for LPI/LPD Radarcom Signal Encoding

Washington, Richard; Bischof, Brenton; Garmatyuk, Dmitriy; Mudaliar, Saba

doi:10.3390/s21020631

Cited by 3 publications

(2 citation statements)

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“…Furthermore, since the bistatic radar receiver employs the self-synchronization scheme, the reconstruction of the FM waveform suffers in the presence of noise, especially if SNR is less than 3 dB. The quality of the simulated cross-ambiguity functions in the presence of noise can be evaluated using the sidelobe volume function [67] given in Equation (17). For an ideal thumbtack ambiguity function, V SL should be equal to zero.…”

Section: Cross-ambiguity Functions In the Presence Of Noisementioning

confidence: 99%

Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication Systems

2021

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In this article, we propose the utilization of chaos-based frequency modulated (CBFM) waveforms for joint monostatic and bistatic radar-communication systems. Short-duration pulses generated via chaotic oscillators are used for wideband radar imaging, while information is embedded in the pulses using chaos shift keying (CSK). A self-synchronization technique for chaotic systems decodes the information at the communication receiver and reconstructs the transmitted waveform at the bistatic radar receiver. Using a nonlinear detection scheme, we show that the CBFM waveforms closely follow the theoretical bit-error rate (BER) associated with bipolar phase-shift keying (BPSK). We utilize the same nonlinear detection scheme to optimize the target detection at the bistatic radar receiver. The ambiguity function for both the monostatic and bistatic cases resembles a thumbtack ambiguity function with a pseudo-random sidelobe distribution. Furthermore, we characterize the high-resolution imaging capability of the CBFM waveforms in the presence of noise and considering a complex target.

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Section: Cross-ambiguity Functions In the Presence Of Noisementioning

confidence: 99%

Chaos Based Frequency Modulation for Joint Monostatic and Bistatic Radar-Communication Systems

2021

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“…In this letter, we will use the NSGA-II to create an OFDM radarcom signal with weighted and optimized PSLR, peak-to-average power ratio (PAPR), LPI, radar detection/identification, and communication bit error rate (BER) parameters. We also propose to achieve the characteristic of LPI via masking our transmissions as local radar clutter [17], which is implemented via a random sequence encoding (RSE) [18].…”

Section: Introductionmentioning

confidence: 99%

Many-Objective RadarCom Signal Design via NSGA-II Genetic Algorithm Implementation and Simulation Analysis

et al. 2022

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In this communication, we investigate the performance of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) in many-objective optimization scenarios pertaining to joint radar and communication functionality. We introduce five objectives relevant to sensing and secure communications and develop a cost function where these objectives can be individually prioritized by a user. We consider three scenarios: Radar Priority, Communication Priority, and All (Objectives) Equal; we then demonstrate the optimization results using an orthogonal frequency-division multiplexing (OFDM) radarcom signal. The objectives with selected weights are shown to improve system performance and thereby validate the viability of our approach. The Radar Priority scenario showed the best improvement in probability of detection, PSLR, and PAPR. Compared to the baseline performance values, the improvements were: from 94.05% to 96%, from 11.7 to 13.6 dB, and from 9.46 to 7.09 dB, respectively. The communication scenario saw the best improvement in BER and clutter similarity (measured by NRMSE) from 3.52% to 0.39% and 0.87 to 0.59, respectively.

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