One Method for Target Location Used in a Radar System Based on External Illuminator and Accuracy Analysis

2012 ◽  
Vol 462 ◽  
pp. 550-555
Author(s):  
Jie Zhao
Keyword(s):  
Target Location ◽  
Radar System ◽  
Accuracy Analysis ◽  
Passive Location ◽  
Time Difference Of Arrival ◽  
Angle Measuring ◽  
Beam Formation ◽  
Location Algorithm ◽  
Simulation Results ◽  
Formation Technique

An applicable passive location algorithm of target based on single fixed-site illuminator of opportunity is introduced in this paper. The azimuth can be acquired using DBF (digital beam formation) technique and angle-measuring via amplitude comparison. Based on Time Difference of Arrival (TDOA), the distance between the target and the radar station is achievable. Finally, the accuracy of location is analyzed, and the computer simulation results are presented.

Target Location and Accuracy Analysis in near Space Bistatic Radar

2011 ◽  
Vol 69 ◽  
pp. 55-60 ◽  
Author(s):  
Jia Qiang Zhang ◽  
Shen Shen Wang ◽  
Fang Nian Wang ◽  
Jin Fu Feng ◽  
Feng Huang
Keyword(s):  
Target Location ◽  
High Accuracy ◽  
Bistatic Radar ◽  
Accuracy Analysis ◽  
Single Measurement ◽  
Position Accuracy ◽  
Near Space ◽  
Wave Radar ◽  
Position Precision ◽  
Simulation Results

Monostatic surface wave radar is vulnerable by the threat of stealth targets and establishment of near space bistatic radar is the most achievable way to solve this problem. The positioning principle and accuracy in near space bistatic radar is discussed in this paper. The geometrical dilution of precision expression of single measurement subset is calculated. The position precision contours of measurement subsets are obtained and which subset can be chosen for positioning at different area is pointed out. Simulation results show that different subset has different position accuracy and a high accuracy subset distributing picture is presented. Research of this paper provides a theoretical base of detecting and tracking for near space bistatic radar.

Improved Particle Filter

2014 ◽  
Vol 687-691 ◽  
pp. 4072-4075
Author(s):  
Tian Wang
Keyword(s):  
Particle Filter ◽  
System Simulation ◽  
Radar System ◽  
Measurement Noise ◽  
Approximate Algorithm ◽  
Bistatic Radar ◽  
Simulation Results

For the particle filter, the paper proposes an approximate algorithm for the case of unknown measurement noise and make a comparison between EKF algorithm and the approximate particle filter for estimating trajectory in a bistatic radar system. Simulation results show that the advantage of the particle filter and theavailability of the approximate particle filter.

scholarly journals Gas Leak Location Detection Based on Data Fusion with Time Difference of Arrival and Energy Decay Using an Ultrasonic Sensor Array

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2985 ◽  
Author(s):  
Tao Wang ◽  
Xiaoran Wang ◽  
Mingyu Hong
Keyword(s):  
Data Fusion ◽  
Sensor Array ◽  
Three Dimensional ◽  
Energy Decay ◽  
Ultrasonic Sensor ◽  
Time Difference Of Arrival ◽  
Leak Location ◽  
Gas Leak ◽  
Location Algorithm ◽  
The Individual

Ultrasonic gas leak location technology is based on the detection of ultrasonic waves generated by the ejection of pressured gas from leak holes in sealed containers or pipes. To obtain more accurate leak location information and determine the locations of leak holes in three-dimensional space, this paper proposes an ultrasonic leak location approach based on multi-algorithm data fusion. With the help of a planar ultrasonic sensor array, the eigenvectors of two individual algorithms, i.e., the arrival distance difference, as determined from the time difference of arrival (TDOA) location algorithm, and the ratio of arrival distances from the energy decay (ED) location algorithm, are extracted and fused to calculate the three-dimensional coordinates of leak holes. The fusion is based on an extended Kalman filter, in which the results of the individual algorithms are seen as observation values. The final system state matrix is composed of distances between the measured leak hole and the sensors. Our experiments show that, under the condition in which the pressure in the measured container is 100 kPa, and the leak hole–sensor distance is 800 mm, the maximum error of the calculated results based on the data fusion location algorithm is less than 20 mm, and the combined accuracy is better than those of the individual location algorithms.

scholarly journals Time Difference of Arrival (TDoA) Localization Combining Weighted Least Squares and Firefly Algorithm

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2554 ◽  
Author(s):  
Peng Wu ◽  
Shaojing Su ◽  
Zhen Zuo ◽  
Xiaojun Guo ◽  
Bei Sun ◽  
...  
Keyword(s):  
Least Squares ◽  
Firefly Algorithm ◽  
Weighted Least Squares ◽  
Initial Position ◽  
Time Difference ◽  
Sensor Nodes ◽  
Passive Location ◽  
Search Region ◽  
Time Difference Of Arrival ◽  
Location Methods

Time difference of arrival (TDoA) based on a group of sensor nodes with known locations has been widely used to locate targets. Two-step weighted least squares (TSWLS), constrained weighted least squares (CWLS), and Newton–Raphson (NR) iteration are commonly used passive location methods, among which the initial position is needed and the complexity is high. This paper proposes a hybrid firefly algorithm (hybrid-FA) method, combining the weighted least squares (WLS) algorithm and FA, which can reduce computation as well as achieve high accuracy. The WLS algorithm is performed first, the result of which is used to restrict the search region for the FA method. Simulations showed that the hybrid-FA method required far fewer iterations than the FA method alone to achieve the same accuracy. Additionally, two experiments were conducted to compare the results of hybrid-FA with other methods. The findings indicated that the root-mean-square error (RMSE) and mean distance error of the hybrid-FA method were lower than that of the NR, TSWLS, and genetic algorithm (GA). On the whole, the hybrid-FA outperformed the NR, TSWLS, and GA for TDoA measurement.

Netted Radar System Design with Spread Spectrum Technology

2011 ◽  
Vol 55-57 ◽  
pp. 648-653
Author(s):  
Lian Qing Fu ◽  
Li Sheng Yang ◽  
Tao Wang ◽  
Qing Le Zhang
Keyword(s):  
System Design ◽  
Spread Spectrum ◽  
Cross Correlation ◽  
Mutual Interference ◽  
Radar System ◽  
Power Ratio ◽  
Emission Signal ◽  
Simulation Results ◽  
Correlation Properties

In this paper, a novel netted radar system is designed to reduce the influence of mutual interference between signals. The emission signals of all stations are assigned the orthogonal PN codes. Because of the good autocorrelation and cross-correlation properties, mutual interference becomes weaker and signals from different stations could be separated by the preassigned PN codes. At the same time, the spectrum of the emission signal is spreaded, the peak-to-mean envelope power ratio (PMEPR) and the intercepted probability of the signals descend therefore. Simulation results show the good performance of the proposed approach.

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