MindMap Gallery Radar Algorithm Engineer Learning Roadmap
Required mathematical knowledge, signal processing knowledge, radar processing knowledge and embedded C language knowledge
Edited at 2020-05-17 10:52:48Discover how Aeon can navigate the competitive online landscape with a strategic SWOT analysis. This comprehensive overview highlights Aeon’s strengths, such as its strong brand recognition, omnichannel capabilities, and customer loyalty programs, alongside its weaknesses, including digital maturity gaps and cost structure challenges. Opportunities for growth include enhancing e-commerce competitiveness and leveraging data-driven strategies, while threats from online-first players and market dynamics require attention. Explore how Aeon can strengthen its market position through innovation and customer-centric approaches in the ever-evolving retail environment.
Discover how Aeon effectively tailors its offerings to meet the diverse needs of family-oriented consumers through a comprehensive Segmentation, Targeting, and Positioning (STP) analysis. Our approach begins with demographic segmentation, examining family life stages, household sizes, income levels, and parent age bands to identify distinct consumer groups. Geographic segmentation highlights store catchment types and community characteristics, while psychographic segmentation delves into family values and lifestyle orientations. Behavioral segmentation focuses on shopping missions, price sensitivity, and channel preferences. Finally, needs-based segmentation reveals core family needs related to value and budget considerations. Join us as we explore these insights to enhance family shopping experiences at Aeon.
Discover the dynamics of sneaker transactions with our Kream Sneaker Consumption Scene Analysis Template. This comprehensive framework aims to visualize the purchasing and consumption journeys of sneakers, identifying key demand drivers and obstacles. It covers user behavior within Kream and external influences, targeting various sneaker categories over specific timeframes and regions. The analysis defines user segments, including collectors, resellers, sneakerheads, casual trend followers, and gift purchasers, each with unique values and KPIs. It outlines the consumption journey from awareness to resale, highlighting critical touchpoints such as search, purchase, inspection, and sharing experiences. Key performance indicators are established to measure engagement and satisfaction throughout the process. Join us in exploring the intricate world of sneaker trading!
Discover how Aeon can navigate the competitive online landscape with a strategic SWOT analysis. This comprehensive overview highlights Aeon’s strengths, such as its strong brand recognition, omnichannel capabilities, and customer loyalty programs, alongside its weaknesses, including digital maturity gaps and cost structure challenges. Opportunities for growth include enhancing e-commerce competitiveness and leveraging data-driven strategies, while threats from online-first players and market dynamics require attention. Explore how Aeon can strengthen its market position through innovation and customer-centric approaches in the ever-evolving retail environment.
Discover how Aeon effectively tailors its offerings to meet the diverse needs of family-oriented consumers through a comprehensive Segmentation, Targeting, and Positioning (STP) analysis. Our approach begins with demographic segmentation, examining family life stages, household sizes, income levels, and parent age bands to identify distinct consumer groups. Geographic segmentation highlights store catchment types and community characteristics, while psychographic segmentation delves into family values and lifestyle orientations. Behavioral segmentation focuses on shopping missions, price sensitivity, and channel preferences. Finally, needs-based segmentation reveals core family needs related to value and budget considerations. Join us as we explore these insights to enhance family shopping experiences at Aeon.
Discover the dynamics of sneaker transactions with our Kream Sneaker Consumption Scene Analysis Template. This comprehensive framework aims to visualize the purchasing and consumption journeys of sneakers, identifying key demand drivers and obstacles. It covers user behavior within Kream and external influences, targeting various sneaker categories over specific timeframes and regions. The analysis defines user segments, including collectors, resellers, sneakerheads, casual trend followers, and gift purchasers, each with unique values and KPIs. It outlines the consumption journey from awareness to resale, highlighting critical touchpoints such as search, purchase, inspection, and sharing experiences. Key performance indicators are established to measure engagement and satisfaction throughout the process. Join us in exploring the intricate world of sneaker trading!
Radar algorithm engineer
math
Calculus, linear algebra, probability theory (cerebellar response)
matrix theory
stochastic process
Convex optimization
A prerequisite course for modern signal processing
signal processing
Signals and Systems
digital signal processing
DTFT,DFT
FFT
digital filter
modern digital signal processing (National University of Science and Technology, Zhang Hao)
1950~1980, traditional classical method (Linear, Gaussian, Stationary, Orthogonal)
statistical signal processing
linear estimate
prediction correction
Orthogonalization
Orthogonalization
recursive linear prediction
Recursion
Kalman filter
Equation of state
Regularization
Regularization
signal processing ideas
kernel
adaptive thinking
adaptive filtering
least squares
Spectrum Analysis
Parametric methods
filter bank
1980~present (non-linear, non-Gaussian, non-stationary, non-orthogonal)
ESPRIT
coherent signal
MIMO concept (Lincoln Laboratory, 2003) Multiple-input multiple-output (MIMO) radar and imaging: Degrees of freedom and resolution[C]
2006 Bekkerman Target detection and localization using MIMO radars and sonars[J]
"MIMO Radar Signal Processing" in 2009
time frequency analysis
Wavelet transform
non-orthogonal
frame
sparse representation
greedy algorithm
Bayesian signal processing
Mentecaro
Bayesian network
Array signal processing
spatial filtering
spatial spectrum estimation
Parameter Estimation
Direction of Arrival Estimation (DoA)
traditional law
Delay
Conventional Beam Forming (CBF)
Capon's minimum variance method
subspace method
Multiple Signal Classification (MUSIC)
Rotation invariant subspace method (ESPRIT)
maximum likelihood method
comprehensive approach
Radar signal processing algorithm
CFAR algorithm
Peak detection
DoA estimate
DBF
Tx end, hardware implementation
Rx side, software implementation
TDM-MIMO
speed deblurring
Phase compensation
Radar data processing algorithm
Association method
GNN
PDAs
JPDA
MHT
Tracking method
Kalman filter
Extended Kalman
particle filter
Embedded system principles and applications
Classification
MCU principles and applications
DSP principles and applications
ARM principles and applications
software development
Hardware development
Embedded C language
Multi-sensor fusion
Millimeter wave radar and camera
Fusion algorithm
tool
MATLAB/Simulink
Visual Studio
CCS
References
Principles of Radar (Wei Qing)
"Principles of Radar (Ding Lufei)"
"Modern Radar System Analysis and Design (Chen Boxiao)"
"Fundamentals of Radar Signal Processing (Second Edition)"
TI official website information