Antenna Placement Analysis for Coherent MIMO Radar with Phased Synchronization Errors

2011 ◽  
Vol 121-126 ◽  
pp. 3689-3693
Author(s):  
Peng Ma ◽  
Qing Song Zhou ◽  
Jian Yun Zhang
Keyword(s):  
Target Location ◽  
Phase Synchronization ◽  
Error Variance ◽  
Mimo Radar ◽  
Joint Estimation ◽  
Synchronization Errors ◽  
Localization Performance ◽  
Cramer Rao Bound ◽  
Antenna Placement

Phase synchronization errors are practically inevitable, so in this paper the quantitative tool to asses the effect of antenna placement for localization performance with phased synchronization errors is provided. The lower bound of mean-square error (MSE) is set by the hybrid Cramer-Rao bound (HCRB) for the joint estimation of the target location and phase synchronization errors at the receivers. It is shown that HCRB follow up to a lower limit, determined by the synchronization error variance and the number of transmit and receive sensors. For uniform antenna distributing, symmetrical placement is optimal, and all forms give exactly the same performance. The localization performance of nonuniform arrays when the antennas are spread out as much as possible is a little better than symmetrical placement at high SNR. Simulation results verify the correctness of conclusions.

Cramer-Rao Bound for Parameter Estimation in Bistatic MIMO Radar

2014 ◽  
Vol 513-517 ◽  
pp. 3385-3388
Author(s):  
Li Li
Keyword(s):  
Parameter Estimation ◽  
Target Location ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Signal Model ◽  
Wideband Signal ◽  
Wideband Signals ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Cramer Rao Bound

The problem of Cramér-Rao bound for parameter estimation in wideband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In many applications, it is not appropriate to approximate the wideband signal by the narrowband model. In this paper, we propose a new wideband signal model to accurately estimate parameter for wideband signals from a moving target. The Cramér-Rao bound for target parameter estimation is derived and computed in closed form which shows that the optimal performance is achieved. Target location and parameter estimation performances are evaluated and studied theoretically and via simulations.

scholarly journals Three-Dimensional Target Localization and Cramér-Rao Bound for Two-Dimensional OFDM-MIMO Radar

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Xingxing Li ◽  
Dangwei Wang ◽  
Xiaoyan Ma
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Three Dimensional ◽  
Mimo Radar ◽  
Joint Estimation ◽  
Target Localization ◽  
Two Dimensional ◽  
Frequency Diversity ◽  
Cramer Rao Bound

Target localization using a frequency diversity multiple-input multiple-output (MIMO) system is one of the hottest research directions in the radar society. In this paper, three-dimensional (3D) target localization is considered for two-dimensional MIMO radar with orthogonal frequency division multiplexing linear frequency modulated (OFDM-LFM) waveforms. To realize joint estimation for range and angle in azimuth and elevation, the range-angle-dependent beam pattern with high range resolution is produced by the OFDM-LFM waveform. Then, the 3D target localization proposal is presented and the corresponding closed-form expressions of Cramér-Rao bound (CRB) are derived. Furthermore, for mitigating the coupling of angle and range and further improving the estimation precision, a CRB optimization method is proposed. Different from the existing methods of FDA-based radar, the proposed method can provide higher range estimation because of multiple transmitted frequency bands. Numerical simulation results are provided to demonstrate the effectiveness of the proposed approach and its improved performance of target localization.

Cramer-Rao Bound for Parameter Estimation in Narrowband Bistatic MIMO Radar

2014 ◽  
Vol 556-562 ◽  
pp. 5034-5037 ◽  
Author(s):  
Li Li
Keyword(s):  
Parameter Estimation ◽  
Target Location ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Signal Model ◽  
Narrowband Signal ◽  
Multiple Input ◽  
Estimate Parameter ◽  
Input Multiple Output ◽  
Cramer Rao Bound

The problem of Cramer-Rao bound for parameter estimation in norrowband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In this paper, we propose a new narrowband signal model to accurately estimate parameter from a moving target. The Cramer-Rao bound for target parameter estimation is derived and computed in closed form which shows that the optimal performance is achieved. Target location and parameter estimation performances are evaluated and studied theoretically and via simulations.

scholarly journals Direct Position Determination with Single Sensor Based on Signal Periodicity

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Cheng Wang ◽  
Ding Wang ◽  
Lu Gao ◽  
Bin Yang
Keyword(s):  
Sensor Array ◽  
Target Location ◽  
Iterative Solution ◽  
Joint Estimation ◽  
Target Localization ◽  
Position Determination ◽  
Wireless Signal ◽  
Single Sensor ◽  
Localization Performance ◽  
Oscillator Instability

Due to practical limitations on size and cost, aerial vehicles generally cannot equip complicated sensors to form sensor array for target localization. In this paper, we investigate the direct position determination (DPD) of stationary source via single moving sensor. First, we analyze artificial signal structure and construct the DPD model with the frame periodicity of artificial signal. The model incorporates Doppler information extracted from both transformation frames and adjacent samples into target localization. Secondly, we consider the effect of oscillator instability and present an iterative solution for joint estimation of target location and phase noise caused by oscillator imperfection. The proposed technique fully exploits periodic structure of artificial wireless signal, which leads to significant enhancement in localization performance. Both theoretical analysis and simulations are presented to confirm its effectiveness.

Propagator Method-Based Joint Estimation of Angle and Polarization for Bistatic MIMO Radar with Polarization Sensitive Array

2014 ◽  
Vol 556-562 ◽  
pp. 4473-4476
Author(s):  
Ming Zhou ◽  
Xiao Fei Zhang
Keyword(s):  
Target Location ◽  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Mimo Radar ◽  
Parameters Estimation ◽  
Joint Estimation ◽  
Identification Accuracy ◽  
Direction Of Departure ◽  
Propagator Method ◽  
Value Decomposition

This paper links the parameter estimation problem of polarization diversity bistatic multiple-input multiple-output (MIMO) radar to propagator method (PM), and proposes an algorithm for joint estimation of direction-of-departure (DOD), direction-of-arrival (DOA) and polarization information for bistatic MIMO radars. PM algorithm is a low complexity algorithm since it requires no eigen-value decomposition (EVD) of the covariance matrix of the received data. The proposed algorithm can estimate the multiple parameter accurately, while achieve paired parameters estimation automatically. Through obtaining polarization information, MIMO radars can further increase the target location and identification accuracy. Simulation results verify the feasibility and effectiveness of the proposed algorithm.

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