Multi-stream MIMO/beamforming radar

1. An advanced system, the advanced system comprising:

a set of antennas including a set of transmit antennas and a set of receive antennas;

a digital beamformer;

a processor operably connected to the set of antennas and the digital beamformer, the processor configured to:

identify a set of orthogonal multiple-input-multiple-output (MIMO) signals,

generate a first set of beams via the digital beamformer, and

map the set of orthogonal MIMO signals into each of the generated set of beams, and

a transceiver operably connected to the processor, the transceiver configured to:

transmit, to a target scene via the set of transmit antenna of the set of antennas, a first signal based on the first set of beams;

illuminate, using the set of orthogonal MIMO signals, the target scene with a same transmit beam of the first set of beams; and

receive, via the set of receive antennas of the set of antennas, a second signal based on a second set of beams that is reflected or backscattered from the target scene.

2. The advanced system of claim 1 , wherein the processor is further configured to generate the set of orthogonal MIMO signals including a set of constant amplitude zero autocorrelation waveform (CAZAC) sequences based on a set of cyclically shifted CAZAC sequences.

3. The advanced system of claim 1 , wherein the processor is further configured to generate the set of orthogonal MIMO signals including a set of MIMO coded signals based on a set of different root constant amplitude zero autocorrelation waveform (CAZAC) sequences.

4. The advanced system of claim 1 , wherein the processor is further configured to:

identify a set of reference signal candidates; and

calculate a correlation for the set of reference signal candidate.

5. The advanced system of claim 1 , wherein the processor is further configured to:

identify signal using range/Doppler process that is computed for the set of orthogonal MIMO signals; and

perform a spatial process for the identified signal to generate an image.

6. The advanced system of claim 1 , wherein the processor is further configured to:

identify, based on a targeted range, an operation mode comprising a MIMO operation mode, a hybrid of MIMO and beamforming operation mode, or a beamforming operation mode;

transmit, the first signal based on the identified operation mode; and

receive, the second signal based on the identified operation mode.

7. The advanced system of claim 1 , wherein the processor is further configured to:

construct a signal corresponding to an orthogonal frequency division multiplexing (OFDM) radar waveform repeating a set of OFDM symbols;

accumulate, in a slot, the set of OFDM symbols using a same code over multiple symbols of the set of OFDM symbols;

generate combined signals based on the accumulated set of OFDM symbols; and

compute a range correlation for the generated combined signals based on:

calculating fast Fourier transform (FFT) of the combined signal;

computing a complex multiplication of the combined signal and a reference signal; and

computing an IFFT of the computed complex multiplicated combined signal to obtain a range correlation.

8. A method of an advanced system, the method comprising:

identifying a set of orthogonal multiple-input-multiple-output (MIMO) signals;

generating a first set of beams;

mapping the set of orthogonal MIMO signals into each of the generated set of beams;

transmitting, to a target scene, a first signal based on the first set of beams;

illuminating, using the set of orthogonal MIMO signals, the target scene with a same transmit beam of the first set of beams; and

receiving a second signal based on a second set of beams that is reflected or backscattered from the target scene.

9. The method of claim 8 , further comprising generating the set of orthogonal MIMO signals including a set of constant amplitude zero autocorrelation waveform (CAZAC) sequences based on a set of cyclically shifted CAZAC sequences.

10. The method of claim 8 , further comprising generating the set of orthogonal MIMO signals including a set of MIMO coded signals based on a set of different root constant amplitude zero autocorrelation waveform (CAZAC) sequences.

11. The method of claim 8 , further comprising:

identify a set of reference signal candidates; and

calculate a correlation for the set of reference signal candidate.

12. The method of claim 8 , further comprising:

identifying signal using range/Doppler process that is computed for the set of orthogonal MIMO signals; and

performing a spatial process for the identified signal to generate an image.

13. The method of claim 8 , further comprising:

identifying, based on a targeted range, an operation mode comprising a MIMO operation mode, a hybrid of MIMO and beamforming operation mode, or a beamforming operation mode;

transmitting, the first signal based on the identified operation mode; and

receiving, the second signal based on the identified operation mode.

14. The method of claim 8 , further comprising:

constructing a signal corresponding to an orthogonal frequency division multiplexing (OFDM) radar waveform repeating a set of OFDM symbols;

accumulating, in a slot, the set of OFDM symbols using a same code over multiple symbols of the set of OFDM symbols;

generating combined signals based on the accumulated set of OFDM symbols; and

computing a range correlation for the generated combined signals based on:

calculating fast Fourier transform (FFT) of the combined signal;

computing a complex multiplication of the combined signal and a reference signal; and

computing an IFFT of the computed complex multiplicated combined signal to obtain a range correlation.

15. A non-transitory computer-readable medium comprising program code, that when executed by at least one processor, causes an advanced system to:

identify a set of orthogonal multiple-input-multiple-output (MIMO) signals;

generate a first set of beams;

map the set of orthogonal MIMO signals into each of the generated set of beams;

transmit, to a target scene, a first signal based on the first set of beams;

illuminate, using the set of orthogonal MIMO signals, the target scene with a same transmit beam of the first set of beams; and

receive a second signal based on a second set of beams that is reflected or backscattered from the target scene.

16. The non-transitory computer-readable medium of claim 15 , further comprising program code, that when executed by at least one processor, causes the advanced system to:

generate the set of orthogonal MIMO signals including a set of constant amplitude zero autocorrelation waveform (CAZAC) sequences based on a set of cyclically shifted CAZAC sequences; and

generate the set of orthogonal MIMO signals including a set of MIMO coded signals based on a set of different root CAZAC sequences.

17. The non-transitory computer-readable medium of claim 15 , further comprising program code, that when executed by at least one processor, causes the advanced system to:

identify a set of reference signal candidates;

calculate a correlation for the set of reference signal candidate;

identify signal using range/Doppler process that is computed for the set of orthogonal MIMO signals;

perform a spatial process for the identified signal to generate an image;

identify, based on a targeted range, an operation mode comprising a MIMO operation mode, a hybrid of MIMO and beamforming operation mode, or a beamforming operation mode;

transmit, the first signal based on the identified operation mode; and

receive, the second signal based on the identified operation mode.

18. The non-transitory computer-readable medium of claim 15 , further comprising program code, that when executed by at least one processor, causes the advanced system to:

construct a signal corresponding to an OFDM radar waveform repeating a set of orthogonal frequency division multiplexing (OFDM) symbols;

accumulate, in a slot, the set of OFDM symbols using a same code over multiple symbols of the set of OFDM symbols;

generate combined signals based on the accumulated set of OFDM symbols; and

compute a range correlation for the generated combined signals based on:

calculating fast Fourier transform (FFT) of the combined signal;

computing a complex multiplication of the combined signal and a reference signal; and

computing an IFFT of the computed complex multiplicated combined signal to obtain a range correlation.