Erratum: ‘High‐range‐resolution two‐dimensional imaging using frequency diversity multiple‐input–multiple‐output sonar’

2016 ◽  
Vol 10 (4) ◽  
pp. 816-816
Keyword(s):  
Multiple Input Multiple Output ◽  
Two Dimensional ◽  
Frequency Diversity ◽  
Range Resolution ◽  
Multiple Input ◽  
Input Multiple Output ◽  
High Range

scholarly journals An Efficient Signal Reconstruction Algorithm for Stepped Frequency MIMO-SAR in the Spotlight and Sliding Spotlight Modes

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Jiajia Zhang ◽  
Guangcai Sun ◽  
Mengdao Xing ◽  
Zheng Bao ◽  
Fang Zhou
Keyword(s):  
Efficient Algorithm ◽  
Low Cost ◽  
Signal Reconstruction ◽  
Multiple Input Multiple Output ◽  
Reconstruction Algorithm ◽  
Synthetic Aperture ◽  
Two Dimensional ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Stepped Frequency

Multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) using stepped frequency (SF) waveforms enables a high two-dimensional (2D) resolution with wider imaging swath at relatively low cost. However, only the stripmap mode has been discussed for SF MIMO-SAR. This paper presents an efficient algorithm to reconstruct the signal of SF MIMO-SAR in the spotlight and sliding spotlight modes, which includes Doppler ambiguity resolving algorithm based on subaperture division and an improved frequency-domain bandwidth synthesis (FBS) method. Both simulated and constructed data are used to validate the effectiveness of the proposed algorithm.

Multi-Target Direction Measurement of Bistatic MIMO Radar

2014 ◽  
Vol 556-562 ◽  
pp. 2797-2801
Author(s):  
Jing Fang Wang
Keyword(s):  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Radar Signal ◽  
Great Success ◽  
Two Dimensional ◽  
Signal Model ◽  
Bistatic Mimo Radar ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Technology

Multiple-input multiple output (MIMO) radar has been widespread concern in the domestic and foreign researchers. Bistatic radar draws on the great success of MIMO technology in the communications field, and it has many advantages over conventional radar. The direction angles estimations of bistatic MIMO radar are researched. To contrast traditional radar DOA estimates, the direction vector of the bistatic MIMO radar is the Knonecker plot of the emission vector and reception vector, that two-dimensional direction angles is estimated. To solve this problem, the principle of bistatic MIMO radar signal model is in-depthly researched.By proposing Capon dimensionality reduction method, the two-dimensional directions of the dual-based MIMO radar are estimated, and computer simulation is to verify the effectiveness of the method.

Array Grating Lobe Elimination of F-MIMO HF Radar with Colocated Antennas

2014 ◽  
Vol 556-562 ◽  
pp. 4510-4513
Author(s):  
Qiang Yang ◽  
Xian Mei Hou
Keyword(s):  
Multiple Input Multiple Output ◽  
Pso Algorithm ◽  
Mimo Radar ◽  
Hf Radar ◽  
Frequency Diversity ◽  
Grating Lobe ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Array Structure ◽  
Receive Array

Multiple-input multiple-output (MIMO) radar with frequency diversity (f-MIMO) is applied to HF radar. An array processing model of f-MIMO HF radar is developed. To eliminate the grating lobe of f-MIMO radar beamforming, two approaches are proposed. One is to apply particle swarm optimization (PSO) algorithm to select the optimal carrier frequency combination. Another is to extract array elements from the virtual receive array to get the optimal sparse array structure, and the simplified physical receive array structure is proposed. Simulation results demonstrate the effectiveness of the method proposed.

scholarly journals OFDM Chirp Waveform Design Based on Subchirp Bandwidth Overlap and Segmented Transmitting for Low Correlation Interference in MIMO Radar

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2696
Author(s):  
Xiang Lan ◽  
Min Zhang ◽  
Jin-Xing Li
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Detection Performance ◽  
Range Image ◽  
Range Resolution ◽  
Multiple Input ◽  
Chirp Signals ◽  
Input Multiple Output ◽  
Correlation Performance

There are some special merits for the orthogonal frequency division multiplexing (OFDM) chirp waveform as multiple input multiple output (MIMO) signals. This signal has high range resolution, good Doppler tolerance, and constant modulus superiority since it exploits a full bandwidth and is based on chirp signals. The correlation sidelobe peaks level are critical for the detection requirement of MIMO radar signals, however conventional OFDM chirp signals produce high autocorrelation sidelobe peaks (ASP) and cross-correlation peaks (CP), which reduces detection performance. In this paper, we explore the structure of OFDM chirp signals’ autocorrelation function and proposed a scheme to reduce the designed signal’s ASP by a designing suitable range of subchirp bandwidth and a segmented transmit-receive mode. Next, we explore a suitable range of interval between the chirp rates of each two signals to reduce the CP. The simulation of designed signals verifies the effectiveness of the proposed methods in the reduction of ASP and CP, with the correlation performance being compared with recent relate studies. In addition, the multiple signals detection and one-dimensional range image simulation show the good detection performance of a designed signal in MIMO radar detection.

scholarly journals Property Analysis of MIMO-Based Missile-Borne Forward-Looking SAR

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yachao Li ◽  
Ziqiang Meng ◽  
Shengqi Zhu ◽  
Yinghui Quan ◽  
Mengdao Xing ◽  
...  
Keyword(s):  
Multiple Input Multiple Output ◽  
Approximation Error ◽  
Mimo Radar ◽  
Synthetic Aperture ◽  
Range Resolution ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Potential Applications ◽  
Range Equation ◽  
Forward Looking

As a special multiple-input multiple-output (MIMO) radar networking mode, missile-borne forward-looking synthetic aperture radar (MFL-SAR) has many potential applications. This paper describes and analyzes properties of this new configuration. Range history and Doppler history are analyzed and derived using the designed geometric configuration. Then the expressions of range and Doppler resolution are determined based on the validity of two-dimensional (2D) resolution imaging capability. To help to design the proper system and motion parameters of this configuration, key parameters affecting the imaging ability are found out. Due to high velocities and accelerations of both transmitter and receiver, high-order terms in the slant range equation should be kept to reduce the approximation error. The range resolution and Doppler resolution of MFL-SAR are both space-variant and time-variant owing to the complexity of this configuration. The tiny changes of 2D resolution during the synthetic aperture time should be considered when designing the imaging algorithm of MFL-SAR.

scholarly journals Optimization of Poly Phase Codesin Time Domain for MIMO RADAR

2019 ◽  
Vol 8 (9) ◽  
pp. 2921-2926
Keyword(s):  
Time Domain ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Radar System ◽  
Jaya Algorithm ◽  
Performance Parameters ◽  
Trade Off ◽  
Range Resolution ◽  
Multiple Input ◽  
Input Multiple Output

Multiple Input Multiple Output (MIMO) RADAR system is proficient in improving the range resolution while considering the orthogonality of the signal. In this paper, Poly Phase coded waveforms are optimized in time domain. The phase codes of the transmit waveforms are designed using ‘JAYA’ optimization algorithm and compared with the literature. Though Multi-Objective Decision Making (MODM) problem shows trade-off between different performance parameters, computationally effective ‘JAYA’ algorithm outperforms. The approach is validated with mathematical modeling and numerical simulations.

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