MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints

Cui, Guolong; Li, Hongbin; Rangaswamy, Muralidhar

doi:10.1109/tsp.2013.2288086

Cited by 425 publications

(265 citation statements)

References 28 publications

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“…where δ is a small positive value whileÃ 0 ⊆ A 0 and A K+l , l = 1, 2, are sets sharing the structural form (5). Interestingly, (10) encompasses as special case the 3 dB mainbeam width condition proposed in [30], which extends to a mismatched scenario the approach in [7].…”

Section: ) Generalized Similarity and Norm Constraintsmentioning

confidence: 99%

“…. , K. We just remark that the considered double-sided quadratic constraints in (5) are quite general, [36], since they include the one-side constraints 0 ≤ a † k B km a k + 2ℜ(b † km a k ) + b km (letting u km be a sufficiently large number or the positive infinity) and the equality constraints 0 = a † k B km a k + 2ℜ(b † km a k ) + b km (setting u km zero). Before proceeding further, let us specify some cases of practical interest complying with (5).…”

Section: Problem Formulationmentioning

confidence: 99%

“…Content may change prior to final publication. Citation information: DOI 10.1109/TSP.2016.2543207, IEEE Transactions on Signal Processing 5 …”

Section: Problem Formulationmentioning

confidence: 99%

“…. , x(N )] ∈ C M ×N the space-time code matrix, we have • the received useful target power is given by 5 In this context, mismatches about discrete clutter locations represent additional sources of uncertainty. 8 • the received interfering power from the i-th scatterer is given by…”

Section: Remarkmentioning

confidence: 99%

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MIMO Radar Beampattern Design Via PSL/ISL Optimization

Aubry

Maio

Huang

2016

IEEE Trans. Signal Process.

169

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We deal with the robust design of Multiple-Input Multiple-Output (MIMO) waveform covariance matrices that optimize the worst case (over steering mismatches) transmit beampattern assuming either the Peak Sidelobe Level (PSL) or the Integrated Sidelobe Level (ISL) as figure of merit. To this end, we model the uncertainty set associated with each steering vector through two double-sided, potentially non-convex, quadratic constraints. Additionally, we force two suitable constraints on the optimization variable. The former accounts for the width of the mainbeam, whereas the latter is either a uniform or a relaxed elemental power requirement allowing to control the amount of transmitted power. We prove that both the mentioned waveform covariance designs lead to non-convex optimization problems which remarkably share some hidden convexity properties. Hence, we devise polynomial time procedures aimed at synthesizing the desired optimal MIMO waveform covariance matrices. Finally, at the analysis stage, we assess the performance of the proposed techniques showing their capability to ensuring improved worst case performance than some counterparts available in open literature.

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Section: ) Generalized Similarity and Norm Constraintsmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

“…Content may change prior to final publication. Citation information: DOI 10.1109/TSP.2016.2543207, IEEE Transactions on Signal Processing 5 …”

Section: Problem Formulationmentioning

confidence: 99%

Section: Remarkmentioning

confidence: 99%

See 2 more Smart Citations

MIMO Radar Beampattern Design Via PSL/ISL Optimization

Aubry

Maio

Huang

2016

IEEE Trans. Signal Process.

169

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“…Similarity constraint is employed in waveform designing for the consideration of reasonable sidelobes level and range resolution. Researchers have applied similarity constraint in phased code design [15] [16], signal design [11] [17] and robust receive beamforming [18]. In this paper, we use it to restrict the sought-after waveform to be close to a desired waveform, so as to control the autocorrelation function (ACF) indirectly.…”

Section: Introductionmentioning

confidence: 99%

Waveform design based on environmental sensing for sky-wave over-the-horizon radar

Luo

et al. 2015

2015 IEEE Radar Conference (RadarCon)

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Sky-wave over-the-horizon (OTH) radar operates in the high-frequency (HF) band congested by external interferences. Owing to the serious occupancy, sometimes OTH radar cannot find suitable clear channel with sufficient bandwidth, especially when broad band is needed. This paper proposes a cognitive scheme of transmit waveform design in the presence of cochannel interference and colored noise. In the scheme, OTH radar monitors the environment in real time and designs transmit waveform adaptively. Environmental sensing based waveform (ESBW) is optimized under the criteria of maximizing the output signal-to-interference-plus-noise ratio (SINR) of matched filtering, and similarity constraint for reasonable range resolution and sidelobes level. The analytic solution to this constrained optimization problem is developed. A simulated scenario with strong interference and colored noise has been introduced. Simulation results demonstrate that ESBW suppresses the interference and colored noise effectively, and detects the target successfully.

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Spectrum Sharing Between MIMO Radar and MIMO Communication Systems

Li,

Petropulu

2024

Signal Processing for Joint Radar Communications

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MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints

Cited by 425 publications

References 28 publications

MIMO Radar Beampattern Design Via PSL/ISL Optimization

MIMO Radar Beampattern Design Via PSL/ISL Optimization

Waveform design based on environmental sensing for sky-wave over-the-horizon radar

Spectrum Sharing Between MIMO Radar and MIMO Communication Systems

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