Prerequisites & Notation
Before You Begin
This chapter develops the MIMO radar concept and shows how waveform diversity creates a virtual aperture that dramatically enlarges the sensing matrix . We build from single-antenna radar (Chapter 7) and the sensing operator framework (Chapter 8) to the multi-transmit, multi-receive, multi-frequency case that underpins our research problem.
Prerequisites:
- Radar Fundamentals --- Radar equation, ambiguity function, range-Doppler processing.
- RF Sensing Geometries and the Sensing Operator --- The sensing matrix , steering vectors, Kronecker structure, k-space coverage.
- Radar equation and matched filtering(Review ch07)
Self-check: Can you write the radar range equation and explain why matched filtering maximises SNR?
- Array steering vectors and beamforming(Review ch08)
Self-check: Can you write the steering vector for a ULA and derive the beamwidth?
- The sensing operator and Kronecker structure(Review ch08)
Self-check: Can you explain why has Kronecker structure when spatial and frequency responses separate?
Notation for This Chapter
Symbols introduced or specialised in this chapter. See also the global notation table in the front matter.
| Symbol | Meaning | Introduced |
|---|---|---|
| Number of transmit antennas | s01 | |
| Number of receive antennas | s01 | |
| Number of virtual array elements () | s01 | |
| Transmit steering vector | s01 | |
| Receive steering vector | s01 | |
| Virtual array steering vector () | s01 | |
| Position of transmitter | s01 | |
| Position of receiver | s01 | |
| Target / voxel position | s03 | |
| Wavenumber | s03 | |
| Combined Tx-Rx wavenumber vector | s03 | |
| MIMO sensing matrix | s04 | |
| Discretised reflectivity vector | s04 | |
| Noise vector | s04 | |
| Carrier frequency | s03 | |
| Signal bandwidth | s03 |