Beampattern synthesis and spectral compatibility based MIMO radar waveform design

Chen, Ningkang; Wei, Ping; Gao, Lin; Zhang, Huaguo

doi:10.1016/j.dsp.2021.103211

Cited by 8 publications

(1 citation statement)

References 31 publications

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“…In an ancient time, the multiple input multiple output (MIMO) technology [1,2] has gained an increased attention by many researchers due to its degree of freedom in optimization. Consequently, the linear frequency modulated (LFM) signals are widely used in many application systems like target detection, jamming recognition, and radar imaging applications [3,4]. Generally, the MIMO is defined as an antenna based technology [5] used for enabling the wireless communications, where more number of antennas are placed at transmitter and receiver sides.…”

Section: Introductionmentioning

confidence: 99%

An Excavated PSO-SQP Mechanisms for an Effective Radar Transmission in MIMO-OFDM Communication Systems

2023

IJIES

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In multiple input multiple output (MIMO) radar systems, the design and development of orthogonal frequency division multiplexing (OFDM)linear frequency modulation (LFM) waveforms is one the most challenging and crucial tasks. Similar to this, increasing the pulse properties of spatially synthesised signals is also crucial in MIMO systems since it makes it possible to successfully eliminate grating sidelobes. Various joint optimization strategies are established in the various existing research works to enhance the overall performance of radar communication systems. Even yet, it has drawbacks including harder to understand computations, false detection rates, and reduced efficacy. Therefore, the proposed work intends to develop an integrated particle swarm optimization (PSO)sequential quadratic programming (SQP) mechanism for improving the pulse compression properties and suppressing the grating sidelobes. Here, a modification is made to the designed LFM waveform to improve its frequency steps while maintaining balanced sidelobe and orthogonal features. By using the different pulse compression properties, the performance and outcomes of the proposed PSO-SQP based joint optimization model are evaluated and compared through simulation analysis. In this assessment, the average pulse compression, cross correlations, transmit beam patterns, and correlation properties are evaluated for varying spatial synthesis signals for the existing methods with the proposed method. Moreover, the estimated values of these parameters are compared with the conventional and proposed PSO and joint optimization techniques. The proposed method produced better results as compared with the existing methods with respect to various pulse compression properties such as auto-correlation side lobe peaks (ASP) and cross-correlation side lob peaks (CP). Based on the results, it is found that the proposed mechanism is capable of achieving the best ASP (19.4 dB), CP (14.02 dB) and ASLE (0.3745) among all, so assures the high range of resolution of the radar communication system.

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