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マインドマップギャラリー Radar Algorithm Engineer Learning Roadmap

Radar Algorithm Engineer Learning Roadmap

Required mathematical knowledge, signal processing knowledge, radar processing knowledge and embedded C language knowledge

2020-05-17 10:52:48 に編集されました

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Radar Algorithm Engineer Learning Roadmap

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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

recursive linear prediction

Recursion

Kalman filter

Equation of state

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