Transmit beampattern synthesis using eigenvalue decomposition in MIMO radar

Shadi, Kamal; Behnia, Fereidoon

doi:10.1109/icics.2011.6174302

Cited by 3 publications

(5 citation statements)

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“…The speed of the computation (optimization) of signals or filters is another aspect of the evaluation of design methods. Speed is of particular importance in systems where adaptive changes in operation are required, and it cannot be satisfied using a predefined set of signals and filters [10] [14]. Most of the mentioned signal design algorithms are very complicated and computationally intensive; therefore, they do not meet these requirements.…”

Section: Introductionmentioning

confidence: 99%

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Simultaneous Optimization of Mismatched Filters and Controlled Amplitude Signals for Long-Range MIMO Radars

Bezoušek

Karamazov

2022

IEEE Access

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This study presents a new signal and filter design procedure for long-range multiple-input multiple-output (MIMO) radars with a pulse length shorter than the return time of signals reflected by the most distant targets. The proposed algorithm adopts and radically improves the method of alternating the optimization of filters and signals, which was recently published by the same authors. It introduces full control of the signal envelope variation during the pulse, preserving acceptable peak-to-average power ratio (PAR) and signal-to-noise ratio (SNR) loss values. This state-of-the-art method allows calculation simplicity and is important for high-speed computations in adaptive applications. A gradient algorithm was used for the signal amplitude and phase optimization. The signal amplitude was controlled using a special signal construction consisting of two complex exponentials.

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Section: Introductionmentioning

confidence: 99%

“…However, there are exceptions such as the algorithms in [10]- [12]. Another issue is the optimization of signals and antennas in MIMO radar systems [12]- [14]. In particular, this concerns the optimization of antennas in collocated MIMO systems or station positions in distributed systems.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Optimization of Mismatched Filters and Controlled Amplitude Signals for Long-Range MIMO Radars

Bezoušek

Karamazov

2022

IEEE Access

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“…Apart from the basic MIMO radar theory, a number of publications discussed the generation of signals with optimum correlation characteristics, in the design of antenna characteristics or optimum signal processing [8][9][10][11][12][13][14][15]. Also critical comments (eg [16] are recorded.…”

Section: Introductionmentioning

confidence: 99%

MIMO radar signals with better correlation characteristics

Bezoušek

Karamazov

2020

Journal of Electrical Engineering

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MIMO radars employ multiple transmitting and receiving antennae. For each transmitting antenna, an independent and easily distinguishable signal is required, and appropriate filters must be used by the receiver. For this, the transmitted signals should have characteristics, enabling their effective separation. In this paper the correlation characteristics of selected signals are compared, and the appropriate signal coding is suggested. For differentiation, we address signals with basic linear or nonlinear frequency modulation (LFM or NLFM) multiplied by Gold, PRN, or frequency diversity (FD) codes. The analysis shows that better signal characteristics are achieved using the FD than the other codes. Using matched filters with filter length of 511, sidelobes and cross-correlations are suppressed by 40 dB with FD codes, while with the other codes only 20 dB was achieved. It was also proven, that the FD codes are more tolerant to the Doppler shift. On the other hand, the FD codes application leads to an extension of the overall transmitted signal bandwidth. This however, only represents a serious barrier for very broadband radar systems.

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“…Low complexity algorithms for the latter problem exist in the literature [11][12][13][14]. Most of the existing algorithms in the literature addressing the former problem [4][5][6][7][8][9][10] are based on computationally complex optimization methods and hence difficult to solve in real-time. Design of signal correlation matrix for specific transmit beampattern was first addressed in [5], [6] as an optimization problem solved using gradient search method.…”

Section: Introductionmentioning

confidence: 99%

“…In [4], the design of correlation matrix for designing different transmit beampatterns along with minimization of crossbeam pattern is formulated as an SDP optimization problem and solved using an efficient cyclic algorithm proposed therein. In [7], an eigenvalue decomposition method is used to achieve specific illumination pattern. Many target tracking applications require flexible transmit beampatterns generated in real-time.…”

Section: Introductionmentioning

confidence: 99%