scholarly journals Waveform Optimization of Compressed Sensing Radar without Signal Recovery

Information ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 271
Author(s):  
Quanhui Wang ◽  
Ying Sun
Keyword(s):  
Signal Processing ◽  
Compressed Sensing ◽  
Optimization Method ◽  
Statistical Characteristics ◽  
Iteration Step ◽  
Radar Signal ◽  
Signal Recovery ◽  
Waveform Optimization ◽  
Inference Problems ◽  
Output Sinr

Radar signal processing mainly focuses on target detection, classification, estimation, filtering, and so on. Compressed sensing radar (CSR) technology can potentially provide additional tools to simultaneously reduce computational complexity and effectively solve inference problems. CSR allows direct compressive signal processing without the need to reconstruct the signal. This study aimed to solve the problem of CSR detection without signal recovery by optimizing the transmit waveform. Therefore, a waveform optimization method was introduced to improve the output signal-to-interference-plus-noise ratio (SINR) in the case where the target signal is corrupted by colored interference and noise having known statistical characteristics. Two different target models are discussed: deterministic and random. In the case of a deterministic target, the optimum transmit waveform is derived by maximizing the SINR and a suboptimum solution is also presented. In the case of random target, an iterative waveform optimization method is proposed to maximize the output SINR. This approach ensures that SINR performance is improved in each iteration step. The performance of these methods is illustrated by computer simulation.

scholarly journals Identification of Human Motion Using Radar Sensor in an Indoor Environment

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2305
Author(s):  
Sung-wook Kang ◽  
Min-ho Jang ◽  
Seongwook Lee
Keyword(s):  
Signal Processing ◽  
Indoor Environment ◽  
Human Motion ◽  
Sensor Data ◽  
Statistical Characteristics ◽  
Radar Signal ◽  
Radar Sensor ◽  
Wave Radar ◽  
The Moment ◽  
Human Motions

In this paper, we propose a method of identifying human motions, such as standing, walking, running, and crawling, using a millimeter wave radar sensor. In our method, two signal processing is performed in parallel to identify the human motions. First, the moment at which a person’s motion changes is determined based on the statistical characteristics of the radar signal. Second, a deep learning-based classification algorithm is applied to determine what actions a person is taking. In each of the two signal processing, radar spectrograms containing the characteristics of the distance change over time are used as input. Finally, we evaluate the performance of the proposed method with radar sensor data acquired in an indoor environment. The proposed method can find the moment when the motion changes with an error rate of 3%, and also can classify the action that a person is taking with more than 95% accuracy.

scholarly journals Development of an optimization method for measuring the Doppler frequency of a packet taking into account the fluctuations of the initial phases of its radio pulses

2021 ◽  
Vol 2 (9 (110)) ◽  
pp. 6-15
Author(s):  
Serhii Yevseiev ◽  
Oleksandr Kuznietsov ◽  
Sergey Herasimov ◽  
Stanislav Horielyshev ◽  
Anton Karlov ◽  
...  
Keyword(s):  
Radio Pulse ◽  
Internal Noise ◽  
Doppler Frequency ◽  
Frequency Measurement ◽  
Optimization Method ◽  
Statistical Characteristics ◽  
Radar Signal ◽  
Time Range ◽  
Phase Fluctuations ◽  
Time Frequency

The necessity of estimating the decrease in the accuracy of measuring the informative parameters of a radar signal in real conditions of its propagation and reflection has been substantiated. The results of the estimation determine the requirements for optimizing this measurement to achieve the required efficiency. A numerical analysis of the decrease in the accuracy of measuring the Doppler frequency of a coherent packet is presented, depending on the statistical characteristics of fluctuations of the initial phases of its radio pulses. Expressions are given for calculating the fluctuation component of the measurement error of radio pulse packet frequency for various coefficients of interpulse correlation of phase fluctuations. An assessment is made of the possibility of increasing the accuracy of Doppler frequency measurement, which can be ensured by statistical optimization of the algorithm for time-frequency processing of a given radar signal by taking into account its phase fluctuations. The conditions for the multiplicative influence of phase fluctuations of radio pulses of the received packet are substantiated, which determine the efficiency of optimization of Doppler frequency measurement. Based on the results of the study, an optimization method for measuring the Doppler frequency of the packet taking into account fluctuations in the initial phases of its radio pulses is proposed. The accuracy of Doppler frequency measurement under the influence of both the internal noise of the radar receiver and the correlated phase fluctuations of its radio pulses is estimated. The efficiency of optimization of measuring the Doppler frequency of the packet is estimated taking into account fluctuations of the initial phases of its radio pulses by means of computer simulation. It is proved that, under the influence of phase fluctuations, the accuracy of Doppler frequency measurement can be increased due to the performed optimization from 1.86 to 6.29 times. This opens the way to improving the existing algorithms for measuring the higher time range derivatives to improve the quality of tracking complex maneuvering aerodynamic objects. This explains the importance and usefulness of the work for the radar theory.

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