A Barrage Jamming Strategy Based on CRB Maximization against Distributed MIMO Radar
<p>The geometry the radar and the target [<a href="#B15-sensors-19-02453" class="html-bibr">15</a>].</p> "> Figure 2
<p>Power allocation of the jammer.</p> "> Figure 3
<p>CRB of <math display="inline"><semantics> <msub> <mi>v</mi> <mi>x</mi> </msub> </semantics></math> versus the noise variance of radar receiver in the first experiment of Scenario 1.</p> "> Figure 4
<p>CRB of <math display="inline"><semantics> <msub> <mi>v</mi> <mi>x</mi> </msub> </semantics></math> versus the total jamming power <math display="inline"><semantics> <msub> <mi>J</mi> <mi>T</mi> </msub> </semantics></math> in the second experiment of Scenario 1.</p> "> Figure 5
<p>CRB of <math display="inline"><semantics> <msub> <mi>v</mi> <mi>x</mi> </msub> </semantics></math> versus the total jamming power <math display="inline"><semantics> <msub> <mi>J</mi> <mi>T</mi> </msub> </semantics></math> in the second scenario.</p> "> Figure 6
<p>CRB of <span class="html-italic">x</span> versus the total jamming power <math display="inline"><semantics> <msub> <mi>J</mi> <mi>T</mi> </msub> </semantics></math> in the second scenario.</p> ">
Abstract
:1. Introduction
2. Signal Model of MIMO Radar
3. Calculation of CRB
4. Barrage Jamming Strategy Design
4.1. Optimization Model
4.2. Optimization Solver
4.3. Complexity Issues
5. Numerical Experiments
5.1. First Target-Radar Scenario
5.2. Second Target-Radar Scenario
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
Abbreviations
CRB | Cramer–Rao bound |
ECCM | electronic counter-counter measures |
GPU | Graphic Processing Unit |
MIMO | multiple input multiple output |
PSO | particle swarm optimization |
RFID | Radio Frequency Identification |
SNR | signal-to-noise ratio |
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Noise Variance (dBm) | Towards Node 1 (W) | Towards Node 2 (W) | Towards Node 3 (W) |
---|---|---|---|
20 | 39.28 | 30.74 | 29.98 |
25 | 37.65 | 31.48 | 30.87 |
30 | 32.48 | 33.83 | 33.68 |
35 | 16.15 | 41.27 | 42.58 |
40 | 0 | 43.85 | 56.15 |
45 | 0 | 29.86 | 70.14 |
50 | 0 | 0 | 100 |
Total Jamming Power (dBm) | Towards Node 1 (W) | Towards Node 2 (W) | Towards Node 3 (W) |
---|---|---|---|
30 | 0 | 0 | 1 |
35 | 0 | 0 | 3.16 |
40 | 0 | 0 | 10 |
45 | 0 | 0 | 31.16 |
50 | 0 | 0 | 100 |
55 | 0 | 94.42 | 221.80 |
60 | 0 | 438.46 | 561.54 |
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Zheng, G.; Na, S.; Huang, T.; Wang, L. A Barrage Jamming Strategy Based on CRB Maximization against Distributed MIMO Radar. Sensors 2019, 19, 2453. https://doi.org/10.3390/s19112453
Zheng G, Na S, Huang T, Wang L. A Barrage Jamming Strategy Based on CRB Maximization against Distributed MIMO Radar. Sensors. 2019; 19(11):2453. https://doi.org/10.3390/s19112453
Chicago/Turabian StyleZheng, Guangyong, Siqi Na, Tianyao Huang, and Lulu Wang. 2019. "A Barrage Jamming Strategy Based on CRB Maximization against Distributed MIMO Radar" Sensors 19, no. 11: 2453. https://doi.org/10.3390/s19112453