Orthogonal polyphase code sets design for MIMO radar using Tabu Search

Liu, Dali; Liu, Yuntao; Cai, Haiwen

doi:10.1109/icade.2012.6330112

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…Evolutionary algorithms have been widely researched and applied in recent years due to their simple form, strong universality, and ability to obtain globally optimal solutions. Some improved evolutionary algorithms, such as memetic algorithms, after relying on global search capabilities to narrow the possible search range, combine efficient local optimal algorithms such as Tabu Search [29], Greedy Code Search (GCS) [30], etc., to optimize the search area to get the optimal solution.…”

Section: Papc Signal Set Designmentioning

confidence: 99%

Slow-Time MIMO Waveform Design Using Pulse-Agile-Phase-Coding for Range Ambiguity Mitigation

Chang,

Yang,

Liang

et al. 2023

Remote Sensing

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This paper proposed a Pulse-Agile-Phase-Coding slow-time MIMO (PAPC-st-MIMO) waveform, where the phase-coded signal is utilized as the intra-pulse modulation of the slow-time MIMO waveform. Firstly, the signal model of the proposed waveform is derived. To improve the orthogonality of the phase-coded waveform sets, a novel hybrid evolutionary algorithm based on Cyclic Algorithm New (CAN) is proposed. After the optimization process of the phase-coded waveform sets, the signal processing method of the PAPC-st-MIMO waveform is derived. Finally, the effectiveness of the proposed method is verified with a simulation experiment. The mitigation ratio of the near-range detection waveform can achieve −30 dB, while the long-range detection waveform can achieve −35 dB. This approach ensures waveform orthogonality while enabling the slow-time MIMO waveform to achieve distance selectivity. By conducting joint pulse-Doppler processing across multiple range segments, range ambiguity can be suppressed, increasing the system’s Pulse Repetition Frequency (PRF) without introducing ambiguity.

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Section: Papc Signal Set Designmentioning

confidence: 99%

Slow-Time MIMO Waveform Design Using Pulse-Agile-Phase-Coding for Range Ambiguity Mitigation

Chang,

Yang,

Liang

et al. 2023

Remote Sensing

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“…Several methods have been developed for optimizations of polyphase sequences in radar and sonar systems. Liu utilized Tabu search to design orthogonal phase-modulated waveforms for active sonar systems [14]. Sharma optimized four-phase orthogonal sequences for MIMO radar systems by means of the alternate sequence generation method [15].…”

Section: Introductionmentioning

confidence: 99%

Optimal Waveform Design Using Frequency-Modulated Pulse Trains for Active Sonar

Guan

Zhou

Zeng

2019

Sensors

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Frequency-modulated pulse trains can be applied in active sonar systems to improve the performance of conventional transmitted waveforms. Recently, two pulse trains have been widely researched as the transmitted waveforms for active sonars. The LFM-Costas pulse train was formed by modulating the linear frequency-modulated (LFM) waveform via the Costas sequence to remove the Doppler ambiguity of LFM pulses. The generalized sinusoidal frequency-modulated (GSFM) waveform, another frequency-modulated pulse train, achieved an ideal ambiguity function shape with thumbtack mainlobe. In this paper, we focus on constructing an optimization model to optimize the LFM-Costas and GSFM pulse trains with the genetic algorithm. The pulse trains can be improved on properties of both ambiguity function and correlations between sub-pulses. The optimized pulse trains are proven to have better detection performance than those of the initial pulse trains, including the lower sidelobe levels of ambiguity function, as well as lower cross-correlation property. Moreover, it is affirmed that the reverberation suppression performance of pulse trains has also been improved through the optimization model.

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“…The phase-coded signals can be broadly classified into two classes as the phase value θ is drawn from a continuous set (random phase) or a discrete set (discrete phase). Some algorithms, such as the modified Fletcher-Reeves algorithm [12], sequential quadratic programming (SQP) [13], bee algorithm and artificial bee colony [14], tabu search [15], and particle swarm optimization [16], have been developed for the design of orthogonal code sets with random phases. Recently Chaotic signals are also becoming an attractive scheme [17].…”

Section: Introductionmentioning

confidence: 99%

Greedy Code Search Based Memetic Algorithm for the Design of Orthogonal Polyphase Code Sets

et al. 2019

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Multiple-input-multiple-output (MIMO) radar has received significant attention because it offers broad design freedom and superior performance. Polyphase code sets with low autocorrelation sidelobe peaks and low cross-correlation peaks, also known as orthogonal polyphase code sets, can be used as transmission signals by MIMO radar. We present an effective algorithm named the greedy code search-based memetic algorithm (MA-GCS) to design such code sets. MA-GCS is a novel variation of the new evolutionary search, which can be used to design only a single binary sequence with low autocorrelation peaks. MA-GCS integrates an evolutionary search for global searches and a GCS for local searches to improve the accuracy of solutions. Moreover, an accelerating algorithm is designed to reduce the computational complexity of the GCS-based local search. The computational complexity of our algorithm is derived and compared with other algorithms. It is demonstrated by the experimental results that our algorithm is truly effective. On one hand, the code sets designed using our proposed algorithm have better autocorrelation and cross-correlation properties than other methods. On the other hand, the time consumed is acceptable. In addition, the influence of the code set parameters on the performance of the design results is also investigated.INDEX TERMS Memetic algorithm, MIMO radar, orthogonal polyphase code design, waveform design.

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Orthogonal polyphase code sets design for MIMO radar using Tabu Search

Cited by 10 publications

References 11 publications

Slow-Time MIMO Waveform Design Using Pulse-Agile-Phase-Coding for Range Ambiguity Mitigation

Slow-Time MIMO Waveform Design Using Pulse-Agile-Phase-Coding for Range Ambiguity Mitigation

Optimal Waveform Design Using Frequency-Modulated Pulse Trains for Active Sonar

Greedy Code Search Based Memetic Algorithm for the Design of Orthogonal Polyphase Code Sets

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