OFDM Chirp Waveform Design Based on Imitating the Time–Frequency Structure of NLFM for Low Correlation Interference in MIMO Radar

Lan, Xiang; Min, Zhang; Wang, Le-Tian

doi:10.1109/lgrs.2020.2974772

Cited by 8 publications

(4 citation statements)

References 11 publications

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“…Since then, there have been several studies on the OFDM-NLFM waveform set [39,40]. Currently, the IN-OFDM designed by Xiang Lan et al [41] is the OFDM-NLFM waveform set with the lowest peak of auto-correlation sidelobe ratio (PASR) and cross-correlation ratio (PCCR).…”

Section: Signal M Echomentioning

confidence: 99%

“…To compare with IN-OFDM, the time-domain segmentation parameters in Equation (13) The correlation function of the IN-OFDM waveform is shown in Figure 6. The blue curve in Figure 6 I of [41].…”

Section: Ofdm-nlfm Waveform Set Designmentioning

confidence: 99%

“…Results show that PASR = −17.7259 dB, PCCR = −16.4961 dB. The specific values of the sub-chirp rate PM code matrix and sub-chirp sequence code matrix are shown in TableIof[41].…”

mentioning

confidence: 99%

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Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization

Liu

Sun

et al. 2021

Sensors

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The OFDM chirp signal is suitable for MIMO radar applications due to its large time-bandwidth product, constant time-domain, and almost constant frequency-domain modulus. Particularly, by introducing the time-frequency structure of the non-linear frequency modulation (NLFM) signal into the design of an OFDM chirp waveform, a new OFDM-NLFM waveform with low peak auto-correlation sidelobe ratio (PASR) and peak cross-correlation ratio (PCCR) is obtained. IN-OFDM is the OFDM-NLFM waveform set currently with the lowest PASR and PCCR. Here we construct the optimization model of the OFDM-NLFM waveform set with the objective function being the maximum of the PASR and PCCR. Further, this paper proposes an OFDM-NLFM waveform set design algorithm inspired by alternating optimization. We implement the proposed algorithm by the alternate execution of two sub-algorithms. First, we keep both the sub-chirp sequence code matrix and sub-chirp rate plus and minus (PM) code matrix unchanged and use the particle swarm optimization (PSO) algorithm to obtain the optimal parameters of the NLFM signal’s time-frequency structure (NLFM parameters). Next, we keep current optimal NLFM parameters unchanged, and optimize the sub-chirp sequence code matrix and sub-chirp rate PM code matrix using the block coordinate descent (BCD) algorithm. The above two sub-algorithms are alternately executed until the objective function converges to the optimal solution. The results show that the PASR and PCCR of the obtained OFDM-NLFM waveform set are about 5 dB lower than that of the IN-OFDM.

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Section: Signal M Echomentioning

confidence: 99%

Section: Ofdm-nlfm Waveform Set Designmentioning

confidence: 99%

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Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization

Liu

Sun

et al. 2021

Sensors

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“…OFDM chirp waveform schemes are also suggested for other applications such as wireless, optical fiber and underwater acoustic communication [16][17][18][19][20]. The potential possibilities of OCDM employed in wireless communication are investigated in [21,22], which demonstrated its robustness for inter-subcarrier interference caused by guard intervals.…”

Section: Introductionmentioning

confidence: 99%

Phase Noise Effects on OFDM Chirp Communication Systems: Characteristics and Compensation

Li,

Wang

2024

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Orthogonal frequency-division multiplexing (OFDM) chirp waveforms are an attractive candidate to be a dual-function signal scheme for the joint radar and communication systems. OFDM chirp signals can not only be employed to transmit communication data through classic phase modulation, but also can perform radar detection by applying linear frequency modulation for subcarriers. However, the performance of the OFDM chirp communication system under the phase noise environment still remains uninvestigated. This paper tries to discuss the influence of phase noise on OFDM chirp communication systems and proposes effective phase noise estimation and compensation methods. We find that the phase noise effect on OFDM chirp communication systems consists of a common phase error (CPE) and an inter-carrier interference (ICI). If not compensated, the performance of the dual-function systems can be seriously degraded. In particular, an exact expression for the signal-plus-interference to noise ratio (SINR) for the OFDM chirp communication system is derived and some critical parameters are analyzed to exhibit the phase noise effects on system performance. Moreover, two low-complexity estimation approaches, maximum likelihood (ML) and linear minimum mean square error (LMMSE), as well as two compensation approaches, the de-correlation and cancellation algorithms, are respectively utilized to eliminate the phase noise impairment. Finally, the phase noise effects and the effectiveness of the compensation approach are verified by extensive numerical results.

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GLRT-based detectors for FDA-MIMO radar with training data

Zeng¹,

Wang²,

Liu³

et al. 2022

Digital Signal Processing

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OFDM Chirp Waveform Design Based on Imitating the Time–Frequency Structure of NLFM for Low Correlation Interference in MIMO Radar

Cited by 8 publications

References 11 publications

Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization

Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization

Phase Noise Effects on OFDM Chirp Communication Systems: Characteristics and Compensation

GLRT-based detectors for FDA-MIMO radar with training data

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