TI毫米波雷达-DCA1000ADC原始数据解析源码分享_毫米波雷达测心率资源-CSDN文库

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### TI 毫米波雷达 - DCA1000 ADC 原始数据解析源码分享 #### 引言随着汽车电子行业的迅速发展，毫米波雷达技术因其在目标检测、距离测量等方面的优势而备受关注。TI（德州仪器）作为毫米波雷达领域的领军企业之一，推出了多种适用于不同场景的产品解决方案。本文旨在介绍TI毫米波雷达设备中的DCA1000 ADC原始数据捕获应用报告的内容，包括如何解释通过Capture Demo或Mmwave Studio捕获的原始模拟到数字转换器(ADC)数据。 #### 准备工作在深入探讨之前，读者需具备以下基础知识： - 对TI毫米波雷达设备的基本了解。 - 熟悉CCS(Code Composer Studio)集成开发环境。 - 具备一定的Matlab编程能力，以便能够理解提供的代码示例。 #### 使用Capture Demo和CCS查看和保存原始数据本章节将指导用户如何使用Capture Demo和CCS查看并保存原始数据。在CCS中打开Memory Browser，可以通过“View”菜单下的“Memory Browser”选项实现。接着，选择合适的内存范围来查看或保存所需的原始数据。对于不同的硬件配置，所捕获的原始ADC数据格式有所不同。 #### Capture Demo使用CCS时的原始数据格式在使用Capture Demo和CCS进行数据捕获时，原始ADC数据通常以特定的格式存储。该格式主要包括以下几个方面： 1. **时间戳**：用于标识每个采样数据的时间信息。 2. **通道标识**：指示数据来自哪个接收通道。 3. **采样值**：代表实际的ADC转换结果。 4. **其他元数据**：如增益设置、频率等参数。具体格式可能因不同的硬件平台而异，例如xWR12xx和xWR14xx系列与DCA1000搭配时的数据格式会有所不同。 #### xWR12xx 和 xWR14xx 系列与 DCA1000 的数据格式当使用xWR12xx和xWR14xx系列雷达芯片与DCA1000配套时，原始数据格式包括： - **帧头信息**：包括帧的类型、长度等。 - **数据包信息**：包含多个数据块，每个数据块对应一个天线通道。 - **数据块信息**：包括采样数据和其他相关元数据。对于这类配置，每帧数据的结构相对复杂，需要通过专门的解析算法才能提取有用的信息。 #### xWR16xx 和 IWR6843 系列与 DCA1000 的数据格式与xWR12xx和xWR14xx系列相比，xWR16xx和IWR6843系列雷达芯片与DCA1000的搭配具有不同的原始数据格式： - **帧结构**：包括帧头、配置信息、多个子帧等。 - **子帧结构**：每个子帧包含一个或多个数据包。 - **数据包结构**：包括采样数据和其他必要的元数据。这种配置下的数据格式更为精细，能够提供更多的细节信息，便于进一步的数据处理和分析。 #### xWR12xx 和 xWR14xx 系列与 TSW1400 的数据格式当使用xWR12xx和xWR14xx系列雷达芯片与TSW1400评估板搭配时，原始数据格式的特点是： - **数据包结构**：每个数据包包含一系列的采样数据以及必要的元数据。 - **数据块结构**：由多个数据包组成，每个数据包对应一个特定的天线通道。 - **帧结构**：由多个数据块组成，包括帧头、配置信息等。这种配置下的数据格式更注重于实时性和高效性，适合于需要快速处理大量数据的应用场景。 #### xWR16xx 和 IWR6843 系列与 TSW1400 的数据格式当使用xWR16xx和IWR6843系列雷达芯片与TSW1400评估板搭配时，其原始数据格式与前一种配置类似，但可能包含更多高级功能： - **子帧结构**：包括配置信息、多个数据包等。 - **数据包结构**：每个数据包包含一系列采样数据及其元数据。 - **帧结构**：由多个子帧组成，每个子帧对应一个特定的处理阶段。这种配置下的数据格式更加灵活，可以根据应用场景的不同调整数据采集和处理策略。 #### 在MATLAB中解析二进制文件为了帮助工程师们更好地理解和处理原始ADC数据，TI提供了MATLAB代码示例。这些代码可以帮助用户： - **读取二进制文件**：从文件中加载原始数据。 - **解析数据格式**：根据前面提到的数据格式解析每一帧的信息。 - **可视化处理结果**：使用MATLAB内置函数绘制处理后的数据，如距离图、速度图等。通过这些代码示例，工程师可以快速搭建起自己的数据分析框架，并针对具体需求进行定制化开发。 #### 总结本文详细介绍了TI毫米波雷达设备中的DCA1000 ADC原始数据捕获原理及解析方法。通过对不同硬件配置下原始数据格式的理解，工程师可以更有效地利用这些数据进行后续处理和分析。此外，通过提供的MATLAB代码示例，进一步增强了数据处理的灵活性和效率。希望本文能为相关领域的研究人员和技术人员提供有价值的参考和帮助。 #### 参考文献由于题目要求不包含具体参考文献信息，此处省略。但在实际应用中，建议读者参考TI官方文档及相关技术资料，以获取最新最准确的技术信息。

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SWRA581B–December 2017–Revised October 2018

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Mmwave Radar Device ADC Raw Data Capture

Application Report

SWRA581B–December 2017–Revised October 2018

Mmwave Radar Device ADC Raw Data Capture

ABSTRACT

This application report demonstrates how to interpret raw analog-to-digital converter (ADC) data that is

captured using the Capture Demo or Mmwave Studio. The format of captured raw ADC data is discussed

for different hardware setup respectively. Matlab snippet is provided for engineers who need to develop

custom code for data processing.

Contents

1 Introduction ................................................................................................................... 2

2 Prerequisites.................................................................................................................. 3

3 Viewing and Saving Raw Data Using Capture Demo and CCS....................................................... 3

4 Raw Data Format of Capture Demo Using CCS ........................................................................ 5

5 xWR12xx and xWR14xx With DCA1000 Data Format ................................................................. 7

6 xWR16xx and IWR6843 With DCA1000 Data Format ................................................................. 9

7 xWR12xx and xWR14xx With TSW1400 Data Format................................................................ 11

8 xWR16xx and IWR6843 With TSW1400 Data Format ................................................................ 13

9 Interpreting Binary File in MATLAB ...................................................................................... 15

10 Summary .................................................................................................................... 21

11 References .................................................................................................................. 21

List of Figures

1 Opening Memory Browser in CCS ........................................................................................ 3

2 Memory Browser Save Memory Button................................................................................... 4

3 Save Memory and File Type ............................................................................................... 4

4 Interleaved Complex Data Format Using Capture Demo .............................................................. 5

5 Interleaved Real Data Format Using Capture Demo ................................................................... 5

6 Non-Interleaved Complex Data Format Using Capture Demo......................................................... 6

7 Non-Interleaved Real Data Format Using Capture Demo.............................................................. 6

8 xWR14xx Real Data Format Using DCA1000 ........................................................................... 7

9 xWR14xx Complex Data Format Using DCA1000 ...................................................................... 8

10 xWR16xx/IWR6843 Real Data Format Using DCA1000 ............................................................... 9

11 xWR16xx/IWR6843 Complex Data Format Using DCA1000......................................................... 10

12 xWR14xx Real Data Format Using TSW1400 ......................................................................... 11

13 xWR14xx Complex Data Format Using TSW1400 .................................................................... 12

14 xWR16xx/IWR6843 Real Data Format for One Receiver Using TSW1400 ........................................ 13

15 xWR16xx/IWR6843 Real Data Format for Multiple Receivers Using TSW1400................................... 13

16 xWR16xx/IWR6843 Complex Data Format Using TSW1400 ........................................................ 14

17 MATLAB Script Output -- xWR14xx With DCA1000................................................................... 16

18 MATLAB Script Output -- xWR16xx With DCA1000................................................................... 17

19 MATLAB Script Output -- xWR14xx With TSW1400 .................................................................. 19

20 MATLAB Script Output -- xWR16xx With TSW1400 .................................................................. 20

Introduction

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Mmwave Radar Device ADC Raw Data Capture

Trademarks

Code Composer Studio is a trademark of Texas Instruments.

All other trademarks are the property of their respective owners.

1 Introduction

The raw data of the mmwave radar (xWRxxxx) can be captured using the Capture Demo provided in the

mmWave SDK, or using Mmwave Studio provided in Mmwave Studio GUI tools. The primary topics

covered include how to save raw data from the Capture Demo using Code Composer Studio™ (CCS), the

raw data format of data captured using the Capture Demo, the raw data format of data captured using

Mmwave Studio, and how to interpret the data in MATLAB. This document assumes that the user knows

how to run the Capture Demo and Mmwave Studio. For instructions on how to run the Capture Demo,

consult the mmWave SDK Demo Setup Guide found in the TI Resource Explorer mmWave Training

Demos folder. For information on how to capture data using Mmwave Studio, consult the Mmwave Studio

User's Guide in Mmwave Studio GUI tools.

Note that Mmwave Studio, previously known as Radar Studio, supports two different platforms. One is

DCA1000EVM Data Capture Card User's Guide, which has interface with xWRxxxx EVM that enables

users to stream the ADC data over Ethernet. Another platform is TSW140x High Speed Data

Capture/Pattern Generator Card which requires Mmwave devPack EVM and High Speed Data Converter

Pro GUI User's Guide. TSW1400 EVM transmits the captured data through Serial Peripheral Interface

(SPI) to PC (through onboard USB to SPI converter). The Radar Studio (older version of Mmwave Studio)

only supports TSW1400 EVM with HSDC Pro. For more information, see Device Firmware Package for

the Radar Studio User's Guide and mmWave Sensor Raw Data Capture Using the TSW1400 Board for

the training video.

For differences in the user interface of Mmwave Studio for DCA1000 EVM and TSW1400, see the

Mmwave Studio User Guide . DCA1000 design is based on Lattice FPGA and LVDS data is captured

through Ethernet streaming. TSW1400 EVM, based on Altera FPGA, capture the LVDS data in different

format. Data format also depends on the type of mmwave devices. Therefore, the different format need to

be discussed separately.

The application report is organized as follows - Section 2 lists the prerequisites. Section 3 describes how

to run and save ADC data using capture demo and CCS. Section 4 discusses the data format saved by

capture demo and CCS. Section 5,Section 6,Section 7 and Section 8 have detailed description of the data

format saved by Mmwave Studio for different xWRxxxx devices using DCA1000 and TSW1400,

respectively. Section 9 provides Matlab script example to process the data captured by Mmwave Studio.

Viewing and Saving Raw Data Using Capture Demo and CCS

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SWRA581B–December 2017–Revised October 2018

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Mmwave Radar Device ADC Raw Data Capture

To save the raw ADC data click the Save Memory button at the top right corner of the Memory Browser

window as shown in Figure 2.

Figure 2. Memory Browser Save Memory Button

In the Save Memory menu, specify the file path and file name and select TI Data as the file type as shown

in Figure 3.

Figure 3. Save Memory and File Type

Click Next and specify the format, start address and length. For the format, select 16-Bit Hex – TI Style.

The length of the data is based on the users chirp configuration. To calculate the length in words, the

following formulas can be used. First, find the total size of ADC data generated in bytes.

Total Size in Bytes = Num ADC Samples × Num RX Channels × Num Frames × Num Chirps × Num Bytes Per

Sample (1)

The number of bytes per sample is based the output format specified by the adcCfg parameter in the

sensor configuration. For a complex output format, there are 4 bytes per sample: 2 bytes for the real part

and 2 bytes for the imaginary part. For a real output format, there are 2 bytes per sample. Once the total

size of the data in bytes is determined the number of words can be found by dividing the total size by 16;

this assumes that the user is saving in a 16-bit Hex – TI Style format.

Length in Words = Total Size / 2 bytes per word (2)

Once the data is saved, it can be viewed in MATLAB using the capture_demo.m file located at

C:\mmwave_sdk_<version_number>\packages\ti\demo\xwr14xx\capture\gui for the xWR1xx, and located

at C:\ti\mmwave_sdk_01_00_00_05\packages\ti\demo\xwr16xx\capture\gui for the xWR16xx. This file

plots the raw ADC data and the 1D FFT of the ADC data. This code can be modified to complete

additional post processing on the data. To do further post processing, you must understand how the

output data is formatted, as shown in Section 4.

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