The concepts, systems and methods described herein are directed towards frequency jump burst-pulse-Doppler (FJB-PD) waveforms and processing to provide wideband, high range resolution (HRR) radar profiling capability in a clutter dense environment. The method includes transmitting a FJB-PD waveform comprising a plurality of frequency steps over a predetermined time period with each frequency step having a plurality of pulses. The method further includes receiving one or more FJB-PD pulse returns corresponding to the FJB-PD waveform and identifying one or more target detections in the one or more FJB-PD pulse returns. A set of range swaths may be extracted for each of the one or more target detections and a wideband spectrum may be generated for each of the sets of range swaths using FJB coherent integration. A clutter suppressed HRR profile may be generated for each of the target detections based on the respective wideband spectrum.

Described are techniques for interleaving range and Doppler radar processing. A data cube is memory accessed differently, from one look period to the next, which allows Doppler processing for a current look period to happen in parallel with range processing for a next look period. Range processing for a first look period writes to rows of the data cube; Doppler processing reads from and empties its columns. But before Doppler processing can finish, a second look period begins. Rather than re-writing to the rows, range processing in the second look period writes to the columns just emptied by the ongoing Doppler processing. Doppler processing for the first look period is allowed to finish by executing during processing idle times in the second period, e.g., in-between chirps. With better processor utilization, Doppler processing is afforded more time to do its complex operations, while keeping look periods as short as possible.

Provided is an information processing apparatus configured to sense an object by using an FMCW radar. The information processing apparatus includes: a data processing unit configured to process a reception signal and generate a power spectrum signal with a predetermined number of bins; an acquisition unit configured to acquire a plurality of peak bins corresponding to the object on the basis of the power spectrum signal; an extraction unit configured to extract an output signal corresponding to the power spectrum signal; and a correction unit configured to correct a phase of the output signal according to bin numbers of the plurality of peak bins. The data processing unit may apply a higher-order window function than a rectangular window to the reception signal. The correction unit may correct the phase of the output signal.

A method for processing a radar signal is provided. The method may include receiving chirps of a radar signal, sampling the radar signal, dividing the samples that correspond to the chirp of the radar signal into at least two virtual chirps, and processing the radar signal based on the at least two virtual chirps. Also, a corresponding device is provided.

Processing of a range-Doppler matrix of a radar system is described. For easy, efficient and rapid ascertainment of a detection threshold of the range-Doppler matrix, only a partial quantity of the cells of the range-Doppler matrix is selected, and the detection threshold is ascertained on the basis of the selected partial quantity of cells of the range-Doppler matrix.

A memory access unit for handling transfers of samples in a d-dimensional array between a one of m data buses, where m≧1, and k*m memories, where k≧2, is disclosed. The memory access unit comprises k address calculators, each address calculator configured to receive a bus address to add a respective offset to generate a sample bus address and to generate, from the sample bus address according to an addressing scheme, a respective address in each of the d dimensions for access along one of the dimensions from the bus address according to an addressing scheme, for accessing a sample. The memory access unit comprises k sample collectors, each sample collector operable to generate a memory select for a one of the k*m memories so as to transfer the sample between a predetermined position in a bus data word and the respective one of the k*m memories. Each sample collector is configured to calculate a respective memory select in dependence upon the address in each of the d dimensions such that each sample collector selects a different one of the k*m memories so as to allow the sample collectors to access k of the k*m memories concurrently. A memory controller may comprise m memory access units for handling transfers of samples in a d-dimensional array between m data buses and k*m memories.

A method and apparatus for processing a constant false alarm rate (CFAR) of sensor data are disclosed. The method includes determining whether a skip condition for an averaging operation on a current frame of radar data is satisfied based on a data variation level of the current frame, skipping the averaging operation on the current frame and obtaining previous mean data of a previous frame of the radar data, in response to the skip condition being satisfied, generating current mean data by performing the averaging operation on the current frame, in response to the skip condition not being satisfied, and performing a CFAR operation on the current frame based on one of the previous mean data or the current mean data.

Integrated circuits may include a constant false alarm rate (CFAR) detection circuit, which may identify targets among clutter and noise in a range-Doppler map. The CFAR detection circuit may compute power values for each cell in the range-Doppler map and scan the range-Doppler map cell by cell. For this purpose, the CFAR detection circuit may compute a target value for a cell-under-test and surrounding cells and a noise value for one or more regions in local proximity of the cell-under-test on the range-Doppler map. For example, the CFAR detection circuit may perform a two-dimensional filtering to compute the target value and compute a sum of accumulated power values weighted by predetermined coefficients. The predetermined coefficients may taper at edges of the range-Doppler map and/or at edges of the regions. The CFAR detection circuit may declare a target based on a comparison of the target value and noise value.

Techniques for radar detection based on preacquisition ramps are discussed. One example system comprises transmitter circuitry, receiver circuitry, and one or more processors. The transmitter circuitry can transmit preacquisition ramps and acquisition ramps. The receiver circuitry can receive preacquisition signals and acquisition signals based on interactions between the environment and the preacquisition ramps and acquisition ramps, respectively. The one or more processors can perform preprocessing based on the preacquisition signals to obtain interim results based on one or more of the environment or the system; generate a range Doppler map based at least in part on the acquisition signals; and evaluate the range Doppler map based at least in part on the interim results.

The present invention suggests a target detecting apparatus and method using a radar which detect a target using a recursive modified cell average-constant false alarm rate (RMCA-CFAR) detector without having a sorting process. The present invention provides a target detecting apparatus using a radar, the apparatus including: a data selecting unit which compares reference data with at least one of previous data and subsequent data which are located at both sides of the reference data, from a received signal including information on a distance and a speed for multiple targets, to select specific data; a cell average calculating unit which calculates an average of cells extracted using a sliding window including the specific data; a CFAR data detecting unit which detects CFAR data based on the average of the extracted cells; and a target detecting unit which detects the target based on the CFAR data.